Activity analysis : finding explanations for sets of events
暂无分享,去创建一个
[1] Mei-Chen Yeh,et al. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[2] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[3] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[4] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[5] M. Minas,et al. Application of graph transformation to visual languages , 1999 .
[6] Aaron F. Bobick,et al. Video surveillance of interactions , 1999, Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223).
[7] J. Q. Smith. Decision Analysis: A Bayesian Approach , 1988 .
[8] Ian D. Reid,et al. Single View Metrology , 2000, International Journal of Computer Vision.
[9] Larry Davis,et al. Modelling pedestrian shapes for outlier detection: a neural net based approach , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).
[10] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[12] Ingemar J. Cox,et al. A review of statistical data association techniques for motion correspondence , 1993, International Journal of Computer Vision.
[13] Ramakant Nevatia,et al. Hierarchical Language-based Representation of Events in Video Streams , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.
[14] Fengjun Lv,et al. Left-Luggage Detection using Bayesian Inference , 2006 .
[15] Ramin Zabih,et al. Bayesian multi-camera surveillance , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[16] Larry S. Davis,et al. View-based detection and analysis of periodic motion , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[17] Edward Y. Chang,et al. Identifying Color in Motion in Video Sensors , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[18] Rodney A. Brooks,et al. Symbolic Reasoning Among 3-D Models and 2-D Images , 1981, Artif. Intell..
[19] Irfan A. Essa,et al. Recognizing multitasked activities from video using stochastic context-free grammar , 2002, AAAI/IAAI.
[20] Larry S. Davis,et al. Human Appearance Change Detection , 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).
[21] Peter Green,et al. Highly Structured Stochastic Systems , 2003 .
[22] Yan Huang,et al. Propagation networks for recognition of partially ordered sequential action , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[23] James P. Blevins,et al. Feature‐Based Grammar , 2011 .
[24] Liu ZhiHua,et al. Region-wide automatic visual search and pursuit surveillance system of vehicles and people using networked intelligent cameras , 2002, 6th International Conference on Signal Processing, 2002..
[25] Stan Sclaroff,et al. Layered graphical models for tracking partially-occluded objects , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Aaron F. Bobick,et al. Recognizing Planned, Multiperson Action , 2001, Comput. Vis. Image Underst..
[27] P. Green,et al. Trans-dimensional Markov chain Monte Carlo , 2000 .
[28] A. G. Amitha Perera,et al. A unified framework for tracking through occlusions and across sensor gaps , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[29] Svetha Venkatesh,et al. Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association , 2006, BMVC.
[30] Larry S. Davis,et al. Event Modeling and Recognition Using Markov Logic Networks , 2008, ECCV.
[31] Larry S. Davis,et al. Backpack: detection of people carrying objects using silhouettes , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[32] Massimo Piccardi,et al. Height measurement as a session-based biometric for people matching across disjoint camera views , 2005 .
[33] Vladimir Kolmogorov,et al. "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..
[34] Eric R. Zieyel. Operations research : applications and algorithms , 1988 .
[35] Vincent Lepetit,et al. Human body pose detection using Bayesian spatio-temporal templates , 2006, Comput. Vis. Image Underst..
[36] S. R. Subramanya,et al. A multi-hypothesis approach for salient object tracking in visual surveillance , 2005, IEEE International Conference on Image Processing 2005.
[37] Richard Szeliski,et al. Finding People in Repeated Shots of the Same Scene , 2006, BMVC.
[38] Irfan A. Essa,et al. Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[39] Richard I. Hartley,et al. Person Reidentification Using Spatiotemporal Appearance , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[40] Larry S. Davis,et al. Probabilistic framework for segmenting people under occlusion , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[41] Larry S. Davis,et al. Backpack: Detection of People Carrying Objects Using Silhouettes , 2001, Comput. Vis. Image Underst..
[42] Edward Y. Chang,et al. A video analysis framework for soft biometry security surveillance , 2005, VSSN '05.
[43] Ingemar J. Cox,et al. An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and Its Evaluation for the Purpose of Visual Tracking , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[44] H. P. Williams. THEORY OF LINEAR AND INTEGER PROGRAMMING (Wiley-Interscience Series in Discrete Mathematics and Optimization) , 1989 .
[45] HsiehJun-Wei,et al. Carried object detection using ratio histogram and its application to suspicious event analysis , 2009 .
[46] Ramakant Nevatia,et al. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[47] Sharath Pankanti,et al. Recognition of repetitive sequential human activity , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[48] Tieniu Tan,et al. Principal axis-based correspondence between multiple cameras for people tracking , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[50] Luc Van Gool,et al. Coupled Detection and Trajectory Estimation for Multi-Object Tracking , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[51] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[52] Gerhard Winkler,et al. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction , 2002 .
[53] Jiri Matas,et al. Hypothesis selection for scene interpretation using grammatical models of scene evolution , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[54] Jake K. Aggarwal,et al. Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[55] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[56] Pushmeet Kohli,et al. P3 & Beyond: Solving Energies with Higher Order Cliques , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[57] J. Marques,et al. On-line Tracking Groups of Pedestrians with Bayesian Networks , 2004 .
[58] Giovanni Attolico,et al. Detection of objects carried by people , 2002, Proceedings. International Conference on Image Processing.
[59] Horst Bischof,et al. Sparse MRF Appearance Models for Fast Anatomical Structure Localisation , 2007, BMVC.
[60] Chris Stauffer,et al. Learning to Track Objects Through Unobserved Regions , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[61] M. Mattavelli,et al. Introduction to the special issue on multimedia implementation », IEEE Trans. On Circuits and Systems for Video Technology , 2004 .
[62] Jeffrey Mark Siskind,et al. Visual Event Classification via Force Dynamics , 2000, AAAI/IAAI.
[63] Larry S. Davis,et al. Detection of people carrying objects : a motion-based recognition approach , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[64] Larry S. Davis,et al. Hydra: multiple people detection and tracking using silhouettes , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[65] Eric J. Golin. A method for the specification and parsing of visual languages , 1991 .
[66] Patrick A. V. Hall,et al. Equivalence between AND/OR graphs and context-free grammars , 1973, Commun. ACM.
[67] Daphne Koller,et al. Learning Spatial Context: Using Stuff to Find Things , 2008, ECCV.
[68] Steven P. Abney. Stochastic Attribute-Value Grammars , 1996, CL.
[69] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[70] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[71] Stuart J. Russell,et al. Object Identification: A Bayesian Analysis with Application to Traffic Surveillance , 1998, Artif. Intell..
[72] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[73] Derek R. Magee,et al. Tracking multiple vehicles using foreground, background and motion models , 2004, Image Vis. Comput..
[74] Donald E. Knuth,et al. The Genesis of Attribute Grammars , 1990, WAGA.
[75] Ben J. A. Kröse,et al. A sequential Bayesian algorithm for surveillance with nonoverlapping cameras , 2005, Int. J. Pattern Recognit. Artif. Intell..
[76] Mubarak Shah,et al. Appearance modeling for tracking in multiple non-overlapping cameras , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[77] Anthony G. Cohn,et al. Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity , 2008, Image Vis. Comput..
[78] Patrick Pérez,et al. Retrieving actions in movies , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[79] Larry S. Davis,et al. Hierarchical Constraint Processes for Shape Analysis , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[80] Thiagalingam Kirubarajan,et al. Estimation with Applications to Tracking and Navigation , 2001 .
[81] Ping-Sing Tsai,et al. Shape from Shading: A Survey , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[82] Shaogang Gong,et al. Multi-camera activity correlation analysis , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[83] Tim J. Ellis,et al. Bridging the gaps between cameras , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[84] Frank Dellaert,et al. EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence , 2004, Machine Learning.
[85] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[86] Gérard G. Medioni,et al. Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[87] Ramakant Nevatia,et al. Learning to associate: HybridBoosted multi-target tracker for crowded scene , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[88] Daniel P. Huttenlocher,et al. Efficient matching of pictorial structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[89] Antonio Ortega,et al. Stereo image compression with disparity compensation using the MRF model , 1996, Other Conferences.
[90] 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.
[91] Pushmeet Kohli,et al. Reduce, reuse & recycle: Efficiently solving multi-label MRFs , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[92] Songhwai Oh,et al. Markov chain Monte Carlo data association for general multiple-target tracking problems , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[93] Feng Han,et al. Bottom-up/top-down image parsing by attribute graph grammar , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[94] Jens Vygen,et al. The Book Review Column1 , 2020, SIGACT News.
[95] Frank Dellaert,et al. An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets , 2004, ECCV.
[96] P. Green,et al. Corrigendum: On Bayesian analysis of mixtures with an unknown number of components , 1997 .
[97] Shaogang Gong,et al. Recognition of group activities using dynamic probabilistic networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[98] David A. Forsyth,et al. Tracking People by Learning Their Appearance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[99] Hong Chen,et al. Composite Templates for Cloth Modeling and Sketching , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[100] Nicholas I. Fisher,et al. Statistical Analysis of Circular Data , 1993 .
[101] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[102] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[103] Mun Wai Lee,et al. A rank constrained continuous formulation of multi-frame multi-target tracking problem , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[104] S. Godsill. On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty , 2001 .
[105] Donald E. Knuth,et al. Semantics of context-free languages , 1968, Mathematical systems theory.
[106] Ying Wu,et al. Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning , 2004, International Journal of Computer Vision.
[107] J. Roberts. The Oxford Dictionary of the Classical World , 2005 .
[108] Ben J. A. Kröse,et al. Keeping Track of Humans: Have I Seen This Person Before? , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[109] Aaron F. Bobick,et al. Recognition of Visual Activities and Interactions by Stochastic Parsing , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[110] Brian V. Funt,et al. A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data , 2002, IEEE Trans. Image Process..
[111] Xuelong Li,et al. Human Carrying Status in Visual Surveillance , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[112] Kim Marriott. Constraint multiset grammars , 1994, Proceedings of 1994 IEEE Symposium on Visual Languages.
[113] VekslerOlga,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001 .
[114] Milan Sonka,et al. Image Processing, Analysis and Machine Vision , 1993, Springer US.
[115] K. G. Murty. An Algorithm for Ranking All the Assignment in Order of Increasing Cost , 1968 .
[116] A. Sugimoto,et al. Deleted Interpolation Using a Hierarchical Bayesian Grammar Network for Recognizing Human Activity , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[117] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[118] Frank Dellaert,et al. MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[119] S. R. Subramanya,et al. A framework for trajectory based visual event retrieval , 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..
[120] James W. Davis,et al. The Representation and Recognition of Action Using Temporal Templates , 1997, CVPR 1997.
[121] Qi Zhao,et al. Reconstructing 3D motion trajectories of particle swarms by global correspondence selection , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[122] Andreas Stolcke,et al. An Efficient Probabilistic Context-Free Parsing Algorithm that Computes Prefix Probabilities , 1994, CL.
[123] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[124] Rama Chellappa,et al. Attribute Grammar-Based Event Recognition and Anomaly Detection , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[125] Ramakant Nevatia,et al. Global data association for multi-object tracking using network flows , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[126] Alfred V. Aho,et al. Compilers: Principles, Techniques, and Tools , 1986, Addison-Wesley series in computer science / World student series edition.
[127] C. Morefield. Application of 0-1 integer programming to multitarget tracking problems , 1977 .
[128] Pascal Fua,et al. Robust People Tracking with Global Trajectory Optimization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[129] Li Li,et al. Semantic event representation and recognition using syntactic attribute graph grammar , 2009, Pattern Recognit. Lett..
[130] Claus Brenner,et al. Reconstruction of Façade Structures Using a Formal Grammar and RjMCMC , 2006, DAGM-Symposium.
[131] Bir Bhanu,et al. Individual recognition using gait energy image , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[132] José Ranilla,et al. F AN: Finding Accurate iNductions , 2002, Int. J. Hum. Comput. Stud..
[133] Vincent Lepetit,et al. Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[134] Rama Chellappa,et al. Recognition of Multi-Object Events Using Attribute Grammars , 2006, 2006 International Conference on Image Processing.
[135] Andrew Gilbert,et al. Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity , 2006, ECCV.
[136] Yaacov Ritov,et al. Tracking Many Objects with Many Sensors , 1999, IJCAI.
[137] A. G. Amitha Perera,et al. Joint Recognition of Complex Events and Track Matching , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[138] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[139] Martial Hebert,et al. Event Detection in Crowded Videos , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[140] M. Thonnat,et al. Video sequence interpretation for visual surveillance , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.
[141] Ramakant Nevatia,et al. Video-based event recognition: activity representation and probabilistic recognition methods , 2004, Comput. Vis. Image Underst..
[142] M. Hahnel,et al. Color and texture features for person recognition , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[143] M. Everingham. The PASCAL Visual Object Classes Challenge 2005 Development Kit , 2005 .
[144] Vladimir Kolmogorov,et al. What energy functions can be minimized via graph cuts? , 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[145] Mark S. Nixon,et al. Automatic Recognition by Gait , 2006, Proceedings of the IEEE.
[146] Kevin Smith,et al. Bayesian methods for visual multi-object tracking with applications to human activity recognition , 2007 .
[147] Ehud Rivlin,et al. Robust Fragments-based Tracking using the Integral Histogram , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[148] Ahmed M. Elgammal,et al. Carrying Object Detection Using Pose Preserving Dynamic Shape Models , 2006, AMDO.
[149] James F. Allen,et al. Actions and Events in Interval Temporal Logic , 1994, J. Log. Comput..
[150] Aubrey B. Poore,et al. Multidimensional assignment formulation of data association problems arising from multitarget and multisensor tracking , 1994, Comput. Optim. Appl..
[151] James O. Berger. Statistical Decision Theory , 1980 .
[152] Kuo-Chin Fan,et al. Carried Object Detection Using Ratio Histogram and its Application to Suspicious Event Analysis , 2009, IEEE Transactions on Circuits and Systems for Video Technology.
[153] Ramakant Nevatia,et al. Tracking multiple humans in crowded environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[154] S. Shankar Sastry,et al. Markov Chain Monte Carlo Data Association for Multi-Target Tracking , 2009, IEEE Transactions on Automatic Control.
[155] Vladimir Kolmogorov,et al. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[156] Uwe Kastens,et al. Ordered attributed grammars , 1980, Acta Informatica.
[157] Ramakant Nevatia,et al. Tracking multiple humans in crowded environment , 2004, CVPR 2004.
[158] Alexander Schrijver,et al. Theory of linear and integer programming , 1986, Wiley-Interscience series in discrete mathematics and optimization.
[159] R. Bowden,et al. Towards automated wide area visual surveillance: tracking objects between spatially-separated, uncalibrated views , 2005 .