Fuzzy human motion analysis: A review

Human Motion Analysis (HMA) is currently one of the most popularly active research domains as such significant research interests are motivated by a number of real world applications such as video surveillance, sports analysis, healthcare monitoring and so on. However, most of these real world applications face high levels of uncertainties that can affect the operations of such applications. Hence, the fuzzy set theory has been applied and showed great success in the recent past. In this paper, we aim at reviewing the fuzzy set oriented approaches for HMA, individuating how the fuzzy set may improve the HMA, envisaging and delineating the future perspectives. To the best of our knowledge, there is not found a single survey in the current literature that has discussed and reviewed fuzzy approaches towards the HMA. For ease of understanding, we conceptually classify the human motion into three broad levels: Low-Level (LoL), Mid-Level (MiL), and High-Level (HiL) HMA. HighlightsA survey of fuzzy set oriented methods for human motion analysis is presented.This is the first time such a survey is presented in the fuzzy set literature.Categorization of existing approaches into three broad levels is performed.Insights and suggestions for future research are discussed.

[1]  Lucia Maddalena,et al.  A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection , 2010, Neural Computing and Applications.

[2]  Michael S. Ryoo,et al.  Human activity prediction: Early recognition of ongoing activities from streaming videos , 2011, 2011 International Conference on Computer Vision.

[3]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[4]  Fei-Fei Li,et al.  Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  J.A. Besada,et al.  Robust object tracking with fuzzy shape estimation , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[6]  Honghai Liu,et al.  A Fuzzy Qualitative Framework for Connecting Robot Qualitative and Quantitative Representations , 2008, IEEE Transactions on Fuzzy Systems.

[7]  Janusz Kacprzyk,et al.  LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC , 2001 .

[8]  Thierry Bouwmans,et al.  A Fuzzy Background Modeling Approach for Motion Detection in Dynamic Backgrounds , 2012, MMSP 2012.

[9]  Ronen Basri,et al.  Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[10]  Mubarak Shah,et al.  Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories , 2011, 2011 International Conference on Computer Vision.

[11]  Plamen P. Angelov,et al.  Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[12]  Ying Wang,et al.  Human Activity Recognition Based on R Transform , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Jake K. Aggarwal,et al.  Human Motion Analysis: A Review , 1999, Comput. Vis. Image Underst..

[14]  James W. Davis,et al.  The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Meng Wang,et al.  Detecting Group Activities With Multi-Camera Context , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Greg Welch,et al.  An Introduction to Kalman Filter , 1995, SIGGRAPH 2001.

[17]  Ujjwal Maulik,et al.  High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field , 2009, Appl. Soft Comput..

[18]  Q. Wang,et al.  Fuzzy adaptive Kalman filtering for INS/GPS data fusion , 1999 .

[19]  Wanqing Li,et al.  Action recognition based on a bag of 3D points , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[20]  Gang Xu,et al.  Tracking Human Body Motion Based on a Stick Figure Model , 1994, J. Vis. Commun. Image Represent..

[21]  L. Kratz,et al.  Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[22]  Martial Hebert,et al.  Activity Forecasting , 2012, ECCV.

[23]  N. Troje.  Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.

[24]  Jerry M. Mendel,et al.  Interval Type-2 Fuzzy Logic Systems Made Simple , 2006, IEEE Transactions on Fuzzy Systems.

[25]  Michael J. Black,et al.  Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[26]  Alex Pentland,et al.  Looking at People: Sensing for Ubiquitous and Wearable Computing , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  James M. Keller,et al.  Fuzzy Voxel Object , 2009, IFSA/EUSFLAT Conf..

[28]  Tieniu Tan,et al.  Recent developments in human motion analysis , 2003, Pattern Recognit..

[29]  Piedad Brox Jiménez,et al.  A Fuzzy System for Background Modeling in Video Sequences , 2013, WILF.

[30]  James M. Keller,et al.  Extension of a soft-computing framework for activity analysis from linguistic summarizations of video , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[31]  Ujjwal Maulik,et al.  Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding , 2007, Pattern Analysis and Applications.

[32]  Omar M. Al-Jarrah,et al.  Recognition of gestures in Arabic sign language using neuro-fuzzy systems , 2001, Artif. Intell..

[33]  Fuchun Sun,et al.  Fuzzy Particle Filtering for Uncertain Systems , 2008, IEEE Transactions on Fuzzy Systems.

[34]  Pinar Duygulu Sahin,et al.  Human Action Recognition Using Distribution of Oriented Rectangular Patches , 2007, Workshop on Human Motion.

[35]  Jin Young Choi,et al.  Intelligent visual surveillance — A survey , 2010 .

[36]  Michael J. Lyons,et al.  Automatic Classification of Single Facial Images , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[37]  Xiao Liu,et al.  Grassmann multimodal implicit feature selection , 2013, Multimedia Systems.

[38]  Alexandros Iosifidis,et al.  Person specific activity recognition using fuzzy learning and Discriminant Analysis , 2011, 2011 19th European Signal Processing Conference.

[39]  Jerzy Z. Sasiadek,et al.  Sensor fusion based on fuzzy Kalman filtering for autonomous robot vehicle , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[40]  Stefan Carlsson,et al.  Monocular 3D Reconstruction of Human Motion in Long Action Sequences , 2004, ECCV.

[41]  D.P. Filev,et al.  An approach to online identification of Takagi-Sugeno fuzzy models , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[42]  Anna Wilbik,et al.  A Fuzzy Measure Similarity Between Sets of Linguistic Summaries , 2013, IEEE Transactions on Fuzzy Systems.

[43]  Stéphane Lecoeuche,et al.  Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features , 2014, Neurocomputing.

[44]  Honghai Liu,et al.  Fuzzy Qualitative Human Motion Analysis , 2009, IEEE Transactions on Fuzzy Systems.

[45]  Kazuyuki Kobayashi,et al.  Accurate differential global positioning system via fuzzy logic Kalman filter sensor fusion technique , 1998, IEEE Trans. Ind. Electron..

[46]  R. Blake,et al.  Perception of human motion. , 2007, Annual review of psychology.

[47]  Anna Wilbik,et al.  Linguistic summarization of sensor data for eldercare , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

[48]  J. Sasiadek,et al.  Sensor fusion based on fuzzy Kalman filter , 2001, Proceedings of the Second International Workshop on Robot Motion and Control. RoMoCo'01 (IEEE Cat. No.01EX535).

[49]  Du Tran,et al.  Human Activity Recognition with Metric Learning , 2008, ECCV.

[50]  Jerry M. Mendel,et al.  Interval type-2 fuzzy logic systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[51]  Michio Sugeno,et al.  A new approach to time series modeling with fuzzy measures and the Choquet integral , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[52]  Ling Shao,et al.  Multi-Max-Margin Support Vector Machine for multi-source human action recognition , 2014, Neurocomputing.

[53]  Guoyin Wang,et al.  Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas” , 2014, The Scientific World Journal.

[54]  Xi Chen,et al.  Adaptive Silhouette Extraction in Dynamic Environments Using Fuzzy Logic , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[55]  Subhransu Maji,et al.  Action recognition from a distributed representation of pose and appearance , 2011, CVPR 2011.

[56]  Benjamin J. Kaipers,et al.  Qualitative Simulation , 1989, Artif. Intell..

[57]  Ivan Laptev,et al.  Recognizing human actions in still images: a study of bag-of-features and part-based representations , 2010, BMVC.

[58]  Charless C. Fowlkes,et al.  Discriminative models for static human-object interactions , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[59]  Chris Kirtley,et al.  Application of Multimedia to the Study of Human Movement , 2001, Multimedia Tools and Applications.

[60]  Masahiko Yachida,et al.  Posture estimation using structure and motion models , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[61]  Honghai Liu,et al.  A fuzzy qualitative approach to human motion recognition , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[62]  Alessio Del Bue,et al.  Human behavior analysis in video surveillance: A Social Signal Processing perspective , 2013, Neurocomputing.

[63]  Markus Kohler,et al.  Using the Kalman Filter to track Human Interactive Motion - Modelling and Initialization of the Kalm , 1997 .

[64]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

[65]  Tieniu Tan,et al.  Learning activity patterns using fuzzy self-organizing neural network , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[66]  Lotfi A. Zadeh,et al.  Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..

[67]  Miguel A. Patricio,et al.  Fuzzy region assignment for visual tracking , 2011, Soft Comput..

[68]  Chandrika Kamath,et al.  Robust techniques for background subtraction in urban traffic video , 2004, IS&T/SPIE Electronic Imaging.

[69]  Limin Wang,et al.  Multi-view Super Vector for Action Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[70]  Robert B. Fisher,et al.  The BEHAVE video dataset: ground truthed video for multi-person behavior classification , 2010 .

[71]  Vijay John,et al.  Charting-based subspace learning for video-based human action classification , 2013, Machine Vision and Applications.

[72]  Jia Zeng,et al.  Type-2 Fuzzy Sets for Handling Uncertainty in Pattern Recognition , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[73]  Steven S. Beauchemin,et al.  The computation of optical flow , 1995, CSUR.

[74]  Jerry M. Mendel,et al.  Type-2 fuzzy logic systems: type-reduction , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[75]  Jitendra Malik,et al.  Twist Based Acquisition and Tracking of Animal and Human Kinematics , 2004, International Journal of Computer Vision.

[76]  Liujuan Cao,et al.  Single/cross-camera multiple-person tracking by graph matching , 2014, Neurocomputing.

[77]  Yadong Wang,et al.  A new approach to fuzzy rule generation: fuzzy extension matrix , 2001, Fuzzy Sets Syst..

[78]  James M. Keller,et al.  Information fusion in computer vision using the fuzzy integral , 1990, IEEE Trans. Syst. Man Cybern..

[79]  Chia-Feng Juang,et al.  Human Body Posture Classification by a Neural Fuzzy Network and Home Care System Application , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[80]  Frank Chung-Hoon Rhee,et al.  Fuzzy rule generation methods for high-level computer vision , 1993 .

[81]  Thierry Bouwmans,et al.  Modeling of Dynamic Backgrounds by Type-2 Fuzzy Gaussians Mixture Models , 2010 .

[82]  Jun Zhang,et al.  Detecting Pedestrian Abnormal Behavior Based on Fuzzy Associative Memory , 2008, 2008 Fourth International Conference on Natural Computation.

[83]  Cordelia Schmid,et al.  Weakly Supervised Learning of Interactions between Humans and Objects , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[84]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[85]  Junji Yamato,et al.  Recognizing human action in time-sequential images using hidden Markov model , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[86]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[87]  Mubarak Shah,et al.  Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[88]  Cordelia Schmid,et al.  Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[89]  Miguel A. Labrador,et al.  A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.

[90]  Alexandros Iosifidis,et al.  Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning , 2012, IEEE Transactions on Information Forensics and Security.

[91]  John Harris,et al.  An Introduction to Fuzzy Logic Applications , 2000 .

[92]  Yee-Hong Yang,et al.  First Sight: A Human Body Outline Labeling System , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[93]  Amir-Masoud Eftekhari-Moghadam,et al.  Fuzzy rule-based reasoning approach for event detection and annotation of broadcast soccer video , 2013, Appl. Soft Comput..

[94]  Ian D. Reid,et al.  High Five: Recognising human interactions in TV shows , 2010, BMVC.

[95]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[96]  Teddy Ko,et al.  A survey on behavior analysis in video surveillance for homeland security applications , 2008, 2008 37th IEEE Applied Imagery Pattern Recognition Workshop.

[97]  Vasumathi Narayanan,et al.  A Survey of Content-Based Video Retrieval , 2008 .

[98]  Anastasios Tefas,et al.  Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[99]  François Brémond,et al.  ETISEO, performance evaluation for video surveillance systems , 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

[100]  Antonio Fernández-Caballero,et al.  A survey of video datasets for human action and activity recognition , 2013, Comput. Vis. Image Underst..

[101]  Barbara Caputo,et al.  Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[102]  Hans-Hellmut Nagel,et al.  Tracking Persons in Monocular Image Sequences , 1999, Comput. Vis. Image Underst..

[103]  Jim Euchner.  Design , 2014, Catalysis from A to Z.

[104]  Alexandros Iosifidis,et al.  Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis , 2012, Comput. Vis. Image Underst..

[105]  Yunde Jia,et al.  Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[106]  Ying Wu,et al.  Discriminative subvolume search for efficient action detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[107]  Terrance L. Huntsberger,et al.  Representation of Uncertainty in Computer Vision Using Fuzzy Sets , 1986, IEEE Transactions on Computers.

[108]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[109]  Qiang Shen,et al.  Fuzzy qualitative simulation , 1993, IEEE Trans. Syst. Man Cybern..

[110]  N.B. Karayiannis,et al.  Fuzzy vector quantization algorithms and their application in image compression , 1995, IEEE Trans. Image Process..

[111]  Hani Hagras,et al.  An Interval Type-2 Fuzzy Logic System for Human Silhouette Extraction in Dynamic Environments , 2012, AIS.

[112]  Aaron F. Bobick,et al.  Parametric Hidden Markov Models for Gesture Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[113]  Thierry Bouwmans,et al.  Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[114]  Stephen Grossberg,et al.  Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps , 1992, IEEE Trans. Neural Networks.

[115]  Li-min Xia,et al.  The Complex Action Recognition via the Correlated Topic Model , 2014, TheScientificWorldJournal.

[116]  Jerry M. Mendel,et al.  Uncertainty measures for interval type-2 fuzzy sets , 2007, Inf. Sci..

[117]  Fei-FeiLi,et al.  Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses , 2012 .

[118]  Jessica K. Hodgins,et al.  Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database , 2008 .

[119]  Jiebo Luo,et al.  Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[120]  Jia Zeng,et al.  Type-2 fuzzy Gaussian mixture models , 2008, Pattern Recognit..

[121]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[122]  Lawrence O. Hall,et al.  Fast clustering with application to fuzzy rule generation , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

[123]  Ying Wu,et al.  Vision-Based Gesture Recognition: A Review , 1999, Gesture Workshop.

[124]  Jerry M. Mendel,et al.  Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..

[125]  Kejun Wang,et al.  Video-Based Abnormal Human Behavior Recognition—A Review , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[126]  Rama Chellappa,et al.  Machine Recognition of Human Activities: A Survey , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[127]  Rafael Muñoz-Salinas,et al.  Human interaction categorization by using audio-visual cues , 2013, Machine Vision and Applications.

[128]  Honghai Liu,et al.  Advances in View-Invariant Human Motion Analysis: A Review , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[129]  Guanrong Chen,et al.  Fuzzy Kalman filtering , 1998, Inf. Sci..

[130]  Alexandros Iosifidis,et al.  Minimum Class Variance Extreme Learning Machine for Human Action Recognition , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[131]  Bir Bhanu,et al.  VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication , 2011 .

[132]  Yael Edan,et al.  Real-time hand gesture telerobotic system using fuzzy c-means clustering , 2002, Proceedings of the 5th Biannual World Automation Congress.

[133]  J. Z. Sasiadek,et al.  Fuzzy adaptive Kalman filtering for INS/GPS data fusion , 1999, Proceedings of the 2000 IEEE International Symposium on Intelligent Control. Held jointly with the 8th IEEE Mediterranean Conference on Control and Automation (Cat. No.00CH37147).

[134]  Jf Baldwin,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[135]  Alessia Saggese,et al.  Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

[136]  Jake K. Aggarwal,et al.  Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[137]  Rohit Verma,et al.  Vision based hand gesture recognition using finite state machines and fuzzy logic , 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

[138]  Xiaodong Yang,et al.  Effective 3D action recognition using EigenJoints , 2014, J. Vis. Commun. Image Represent..

[139]  Hongxun zhang,et al.  Fusing Color and Texture Features for Background Model , 2006, FSKD.

[140]  J.C. Bezdek,et al.  Computing with uncertainty , 1992, IEEE Communications Magazine.

[141]  Pilar Sobrevilla Frisón,et al.  Fuzzy sets in computer vision: an overview , 2003 .

[142]  Sansanee Auephanwiriyakul,et al.  Multi-prototype fuzzy clustering with fuzzy K-nearest neighbor for off-line human action recognition , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[143]  Chee Seng Chan,et al.  A fuzzy qualitative approach for scene classification , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[144]  Chee Seng Chan,et al.  Fuzzy action recognition for multiple views within single camera , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[145]  Ujjwal Maulik,et al.  Soft Computing for Image and Multimedia Data Processing , 2013, Springer Berlin Heidelberg.

[146]  Juan Carlos Niebles,et al.  Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.

[147]  Philip H. S. Torr,et al.  Learning Discriminative Space–Time Action Parts from Weakly Labelled Videos , 2013, International Journal of Computer Vision.

[148]  P. L. Venetianer,et al.  The evolution of video surveillance: an overview , 2008, Machine Vision and Applications.

[149]  C. T. Lin,et al.  A neural fuzzy system for image motion estimation , 2000, Fuzzy Sets Syst..

[150]  Kristen Grauman,et al.  Relative attributes , 2011, 2011 International Conference on Computer Vision.

[151]  Tieniu Tan,et al.  A multi-object tracking system for surveillance video analysis , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[152]  Tusar Kanti Mishra,et al.  Background subtraction and human detection in outdoor videos using fuzzy logic , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[153]  Miao Yu,et al.  Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[154]  Mohan M. Trivedi,et al.  Human action recognition using multiple views: a comparative perspective on recent developments , 2011, J-HGBU '11.

[155]  Aaron F. Bobick,et al.  Recognition of human body motion using phase space constraints , 1995, Proceedings of IEEE International Conference on Computer Vision.

[156]  L. Zadeh,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[157]  James M. Keller,et al.  Modeling Human Activity From Voxel Person Using Fuzzy Logic , 2009, IEEE Transactions on Fuzzy Systems.

[158]  Ronald Poppe,et al.  A survey on vision-based human action recognition , 2010, Image Vis. Comput..

[159]  Mubarak Shah,et al.  Motion-based recognition a survey , 1995, Image Vis. Comput..

[160]  Lihi Zelnik-Manor,et al.  Event-based analysis of video , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[161]  Stuart Harvey Rubin.  Computing with words , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[162]  Edward H. Adelson,et al.  Analyzing and recognizing walking figures in XYT , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[163]  Aaron F. Bobick,et al.  A state-based technique for the summarization and recognition of gesture , 1995, Proceedings of IEEE International Conference on Computer Vision.

[164]  J. Cutting,et al.  Temporal and spatial factors in gait perception that influence gender recognition , 1978, Perception & psychophysics.

[165]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[166]  Mansur R. Kabuka,et al.  A Novel Feature Recognition Neural Network and its Application to Character Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[167]  A ZadehLotfi.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997 .

[168]  Arthur E. C. Pece,et al.  From Cluster Tracking to People Counting , 2002 .

[169]  Larry S. Davis,et al.  Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[170]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[171]  Cordelia Schmid,et al.  Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.

[172]  Francisco Herrera,et al.  Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base , 2001, IEEE Trans. Fuzzy Syst..

[174]  Myo-Taeg Lim,et al.  Fuzzy Adaptive Particle Filter for Localization of a Mobile Robot , 2007, KES.

[175]  Dmitry B. Goldgof,et al.  Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms , 2010, IEEE Transactions on Intelligent Transportation Systems.

[176]  Gracian Trivino,et al.  Linguistic summarization of the human activity using skin conductivity and accelerometers , 2008 .

[177]  Thomas B. Moeslund,et al.  A Local 3-D Motion Descriptor for Multi-View Human Action Recognition from 4-D Spatio-Temporal Interest Points , 2012, IEEE Journal of Selected Topics in Signal Processing.

[178]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[179]  Ruediger Dillmann,et al.  Human Motion Analysis: A Review , 1997 .

[180]  Jitendra Malik,et al.  Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[181]  Duc Phu Chau,et al.  Feature matching using CO-inertia analysis for people tracking , 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[182]  Ioannis Pitas,et al.  The i3DPost Multi-View and 3D Human Action/Interaction Database , 2009, 2009 Conference for Visual Media Production.

[183]  Bharti Bansal,et al.  Gesture Recognition: A Survey , 2016 .

[184]  James M. Keller,et al.  Linguistic description of adult skeletal age-at-death estimations from fuzzy integral acquired fuzzy sets , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[185]  M. Sugeno,et al.  An interpretation of fuzzy measures and the Choquet integral as an integral with respect to a fuzzy , 1989 .

[186]  Annamária R. Várkonyi-Kóczy,et al.  Human–Computer Interaction for Smart Environment Applications Using Fuzzy Hand Posture and Gesture Models , 2011, IEEE Transactions on Instrumentation and Measurement.

[187]  Xi Chen,et al.  Adaptive Silouette Extraction and Human Tracking in Complex and Dynamic Environments , 2006, 2006 International Conference on Image Processing.

[188]  Greg Welch,et al.  HISTORY: The Use of the Kalman Filter for Human Motion Tracking in Virtual Reality , 2009, PRESENCE: Teleoperators and Virtual Environments.

[189]  Ronald Poppe,et al.  Vision-based human motion analysis: An overview , 2007, Comput. Vis. Image Underst..

[190]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[191]  Hossein Ragheb,et al.  MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[192]  Ronald R. Yager,et al.  Uncertainty representation using fuzzy measures , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[193]  Yael Edan,et al.  Cluster labeling and parameter estimation for the automated setup of a hand-gesture recognition system , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[194]  Thierry Bouwmans,et al.  Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling , 2008, ISVC.

[195]  Robert B. Fisher,et al.  The PETS04 Surveillance Ground-Truth Data Sets , 2004 .

[196]  Yuan Yan Tang,et al.  Recognizing complex events in real movies by combining audio and video features , 2014, Neurocomputing.

[197]  Takeo Kanade,et al.  Model-based tracking of self-occluding articulated objects , 1995, Proceedings of IEEE International Conference on Computer Vision.

[198]  W. Liu,et al.  Adaptive fuzzy apporach to background modeling using PSO and KLMS , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[199]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[200]  John See,et al.  Human motion detection using fuzzy rule-base classification of moving blob regions , 2005 .

[201]  Fei-Fei Li,et al.  Grouplet: A structured image representation for recognizing human and object interactions , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[202]  R. Senthil,et al.  Nonlinear State Estimation Using Fuzzy Kalman Filter , 2006 .

[203]  Jean-Christophe Nebel,et al.  View and Style-Independent Action Manifolds for Human Activity Recognition , 2010, ECCV.

[204]  Jean-Marie Le Yaouanc,et al.  A Fuzzy Spatio-temporal-Based Approach for Activity Recognition , 2012, ER Workshops.

[205]  Rémi Ronfard,et al.  A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..

[206]  Ann Pellegrini.  Movement , 2011 .

[207]  Nicu Sebe,et al.  Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.

[208]  HiltonAdrian,et al.  A survey of advances in vision-based human motion capture and analysis , 2006 .

[209]  W. Badawy,et al.  Fuzzy logic based particle filter for tracking a maneuverable target , 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

[210]  Muhammet Balcilar,et al.  Region Based Fuzzy Background Subtraction Using Choquet Integral , 2013, ICANNGA.

[211]  S. Eddy.  Hidden Markov models. , 1996, Current opinion in structural biology.

[212]  Tieniu Tan,et al.  A multi-object tracking system for surveillance video analysis , 2004, ICPR 2004.

[213]  J.K. Aggarwal,et al.  Human activity analysis , 2011, ACM Comput. Surv..

[214]  K. Rohr.  Towards model-based recognition of human movements in image sequences , 1994 .

[215]  Xingyan Li.  Gesture Recognition Based on Fuzzy C-Means Clustering Algorithm , .

[216]  H. Foroughi,et al.  A novel fuzzy background subtraction method based on cellular automata for urban traffic applications , 2008, 2008 9th International Conference on Signal Processing.

[217]  Jake K. Aggarwal,et al.  Articulated and elastic non-rigid motion: a review , 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.

[218]  Honghai Liu,et al.  Fuzzy Qualitative Robot Kinematics , 2008, IEEE Transactions on Fuzzy Systems.

[219]  Fernando De la Torre,et al.  Max-margin early event detectors , 2012, CVPR.

[220]  Alexandros Iosifidis,et al.  Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis , 2013, Signal Process..

[221]  Honghai Liu,et al.  Fuzzy Qualitative Trigonometry , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[222]  Benjamin Kuipers,et al.  Qualitative Simulation , 1986, Artificial Intelligence.

[223]  Zhihai He,et al.  Recognizing Falls from Silhouettes , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[224]  Tieniu Tan,et al.  Kinematics-based tracking of human walking in monocular video sequences , 2004, Image Vis. Comput..

[225]  Robert B. McGhee,et al.  An extended Kalman filter for quaternion-based orientation estimation using MARG sensors , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[226]  Toshiaki Ejima,et al.  Hand Gesture Recognition Using Fuzzy Neural Network , 2005 .

[227]  Mubarak Shah,et al.  UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.

[228]  Rémi Ronfard,et al.  Free viewpoint action recognition using motion history volumes , 2006, Comput. Vis. Image Underst..

[229]  Nicu Sebe,et al.  Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.

[230]  James M. Keller,et al.  Linguistic summarization of video for fall detection using voxel person and fuzzy logic , 2009, Comput. Vis. Image Underst..

[231]  Yasuo Narukawa,et al.  Decision Modelling Using the Choquet Integral , 2004, MDAI.

[232]  Pascal Fua,et al.  Local and Global Skeleton Fitting Techniques for Optical Motion Capture , 1998, CAPTECH.

[233]  Alex Pentland,et al.  A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[234]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1991, Proceedings of the 1991 IEEE International Symposium on Intelligent Control.

[235]  Cordelia Schmid,et al.  Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[236]  Hani Hagras,et al.  A fuzzy logic-based system for the automation of human behavior recognition using machine vision in intelligent environments , 2015, Soft Comput..

[237]  Nasrollah Moghaddam Charkari,et al.  A Novel Fuzzy HMM Approach for Human Action Recognition in Video , 2011, KTW.

[238]  Qi Tian,et al.  Recognizing human group action by layered model with multiple cues , 2014, Neurocomputing.

[239]  J. Aggarwal,et al.  Recognizing human action from a far field of view , 2009, 2009 Workshop on Motion and Video Computing (WMVC).

[240]  Mignon Park,et al.  Object tracking from image sequences using adaptive models in fuzzy particle filter , 2013, Inf. Sci..

[241]  Thomas Serre,et al.  HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.

[242]  Sushmita Mitra,et al.  Neuro-fuzzy rule generation: survey in soft computing framework , 2000, IEEE Trans. Neural Networks Learn. Syst..

[243]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[244]  Robert B. McGhee,et al.  Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking , 2005, IEEE Transactions on Robotics.

[245]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[246]  P PopoolaOluwatoyin,et al.  Video-Based Abnormal Human Behavior Recognition—A Review , 2012 .

[247]  Plamen P. Angelov,et al.  Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

[248]  Jerry M. Mendel,et al.  Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems , 2002, IEEE Trans. Fuzzy Syst..

[249]  Yang Wang,et al.  Recognizing human actions from still images with latent poses , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[250]  Mubarak Shah,et al.  Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.

[251]  J. Keller,et al.  Fuzzy set theoretic approach to computer vision: An overview , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[252]  Ioannis A. Kakadiaris,et al.  Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[253]  A F Bobick,et al.  Movement, activity and action: the role of knowledge in the perception of motion. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[254]  Hong Wei,et al.  A survey of human motion analysis using depth imagery , 2013, Pattern Recognit. Lett..

[255]  Guodong Guo,et al.  A survey on still image based human action recognition , 2014, Pattern Recognit..

[256]  Thierry Bouwmans,et al.  Fuzzy integral for moving object detection , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[257]  Jean-Luc Marichal,et al.  On Sugeno integral as an aggregation function , 2000, Fuzzy Sets Syst..

[258]  U. Maulik,et al.  Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field , 2013 .

[259]  Jiebo Luo,et al.  Learning multi-label scene classification , 2004, Pattern Recognit..

[260]  M. Sigari,et al.  Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application , 2008 .

[261]  Alexandros André Chaaraoui,et al.  Optimizing human action recognition based on a cooperative coevolutionary algorithm , 2014, Eng. Appl. Artif. Intell..

[262]  Honghai Liu,et al.  Recent Advances in Fuzzy Qualitative Reasoning , 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[263]  Sanjaya Shankar Tripathy,et al.  Detection of human presence in a surveillance video using fuzzy approach , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[264]  Tim J. Ellis,et al.  ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[265]  Honghai Liu,et al.  Fuzzy qualitative complex actions recognition , 2010, International Conference on Fuzzy Systems.

[266]  Thierry Bouwmans,et al.  A fuzzy approach for background subtraction , 2008, 2008 15th IEEE International Conference on Image Processing.

[267]  Ulrich Kressel,et al.  Tracking non-rigid, moving objects based on color cluster flow , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[268]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[269]  D. Thalmann,et al.  Local and Global Skeleton Fitting Techniques for Optical Motion Capture , Modeling and Motion Capture Techniques for Virtual Environments , 1998 .

[270]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .