Vision-based human motion analysis: An overview

[1]  Andrew Zisserman,et al.  Advances in Neural Information Processing Systems (NIPS) , 2007 .

[2]  Mircea Nicolescu,et al.  Vision-based hand pose estimation: A review , 2007, Comput. Vis. Image Underst..

[3]  Deva Ramanan,et al.  Learning to parse images of articulated bodies , 2006, NIPS.

[4]  Stephen J. McKenna,et al.  Human tracking using 3D surface colour distributions , 2006, Image Vis. Comput..

[5]  Luc Van Gool,et al.  Markerless tracking of complex human motions from multiple views , 2006, Comput. Vis. Image Underst..

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

[7]  Adrian Hilton,et al.  Viewpoint invariant exemplar-based 3D human tracking , 2006, Comput. Vis. Image Underst..

[8]  Andrew W. Fitzgibbon,et al.  Semi-supervised Learning of Joint Density Models for Human Pose Estimation , 2006, BMVC.

[9]  Josechu J. Guerrero,et al.  Viewpoint Independent Human Motion Analysis in Man-made Environments , 2006, BMVC.

[10]  Michael J. Black,et al.  Predicting 3D People from 2D Pictures , 2006, AMDO.

[11]  Nicholas R. Howe,et al.  Boundary Fragment Matching and Articulated Pose Under Occlusion , 2006, AMDO.

[12]  Jitendra Malik,et al.  Recovering 3D human body configurations using shape contexts , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Cristian Sminchisescu,et al.  Training Deformable Models for Localization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[14]  James M. Rehg,et al.  A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[15]  David J. Fleet,et al.  3D People Tracking with Gaussian Process Dynamical Models , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[16]  Trevor Darrell,et al.  Conditional Random People: Tracking Humans with CRFs and Grid Filters , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[17]  Vladimir Pavlovic,et al.  Impact of Dynamics on Subspace Embedding and Tracking of Sequences , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[18]  Michael J. Black,et al.  Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[19]  Cristian Sminchisescu,et al.  Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[20]  Tony X. Han,et al.  Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[21]  Rui Li,et al.  Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers , 2006, ECCV.

[22]  Pushmeet Kohli,et al.  PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts , 2006, ECCV.

[23]  Ramakant Nevatia,et al.  Human Pose Tracking Using Multi-level Structured Models , 2006, ECCV.

[24]  Richard Bowden,et al.  Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images , 2006, ECCV.

[25]  Larry S. Davis,et al.  Estimation of Anthropomeasures from a Single Calibrated Camera , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[26]  Ankur Agarwal,et al.  A Local Basis Representation for Estimating Human Pose from Cluttered Images , 2006, ACCV.

[27]  Ankur Agarwal,et al.  Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  David Suter,et al.  Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations , 2006, BMVC.

[29]  Michael J. Black,et al.  HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion , 2006 .

[30]  Cristian Sminchisescu,et al.  Conditional models for contextual human motion recognition , 2006, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[31]  David J. Fleet,et al.  Gaussian Process Dynamical Models , 2005, NIPS.

[32]  Daniel P. Huttenlocher,et al.  Beyond trees: common-factor models for 2D human pose recovery , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[33]  David J. Fleet,et al.  Priors for people tracking from small training sets , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[34]  Jitendra Malik,et al.  Recovering human body configurations using pairwise constraints between parts , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[35]  Roberto Cipolla,et al.  Hierarchical Part-Based Human Body Pose Estimation , 2005, BMVC.

[36]  Toby Howard,et al.  Real-Time 3-D Human Body Tracking using Variable Length Markov Models , 2005, BMVC.

[37]  S. Sclaroff,et al.  Tracking Human Body Pose on a Learned Smooth Space , 2005 .

[38]  Cristian Sminchisescu,et al.  Discriminative density propagation for 3D human motion estimation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[39]  Gang Hua,et al.  Learning to estimate human pose with data driven belief propagation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[40]  Nicholas R. Howe.  Flow lookup and biological motion perception , 2005, IEEE International Conference on Image Processing 2005.

[41]  Ian D. Reid,et al.  Articulated Body Motion Capture by Stochastic Search , 2005, International Journal of Computer Vision.

[42]  Jesús Martínez del Rincón,et al.  2D silhouette and 3D skeletal models for human detection and tracking , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[43]  Paul A. Viola,et al.  Learning silhouette features for control of human motion , 2004, SIGGRAPH '04.

[44]  Ioannis A. Kakadiaris,et al.  Monocular human motion tracking , 2004, Multimedia Systems.

[45]  Aaron Hertzmann,et al.  Style-based inverse kinematics , 2004, ACM Trans. Graph..

[46]  Sidharth Bhatia,et al.  Tracking loose-limbed people , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[47]  Cristian Sminchisescu,et al.  Generative modeling for continuous non-linearly embedded visual inference , 2004, ICML.

[48]  Tieniu Tan,et al.  People tracking based on motion model and motion constraints with automatic initialization , 2004, Pattern Recognit..

[49]  A. Elgammal,et al.  Inferring 3D body pose from silhouettes using activity manifold learning , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[50]  Mun Wai Lee,et al.  Proposal maps driven MCMC for estimating human body pose in static images , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[51]  Nicholas R. Howe,et al.  Silhouette Lookup for Automatic Pose Tracking , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[52]  Alexei A. Efros,et al.  Recovering human body configurations: combining segmentation and recognition , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[53]  R. Chellappa,et al.  View independent human body pose estimation from a single perspective image , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[54]  Ankur Agarwal,et al.  Tracking Articulated Motion Using a Mixture of Autoregressive Models , 2004, ECCV.

[55]  David Demirdjian.  Combining Geometric- and View-Based Approaches for Articulated Pose Estimation , 2004, ECCV.

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

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

[58]  Michael J. Black,et al.  Learning the Statistics of People in Images and Video , 2003, International Journal of Computer Vision.

[59]  Mohan M. Trivedi,et al.  Human Body Model Acquisition and Tracking Using Voxel Data , 2003, International Journal of Computer Vision.

[60]  Andrew Blake,et al.  Probabilistic Tracking with Exemplars in a Metric Space , 2002, International Journal of Computer Vision.

[61]  David A. Forsyth,et al.  Probabilistic Methods for Finding People , 2001, International Journal of Computer Vision.

[62]  Ioannis A. Kakadiaris,et al.  Three-Dimensional Human Body Model Acquisition from Multiple Views , 1998, International Journal of Computer Vision.

[63]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[64]  Daniel P. Huttenlocher,et al.  Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.

[65]  Neil D. Lawrence,et al.  Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data , 2003, NIPS.

[66]  Michael Isard,et al.  Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation , 2003, NIPS.

[67]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[68]  Trevor Darrell,et al.  Inferring 3D structure with a statistical image-based shape model , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[69]  Trevor Darrell,et al.  Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[70]  Sameer Singh,et al.  Video analysis of human dynamics - a survey , 2003, Real Time Imaging.

[71]  Mohammed Yeasin,et al.  Automatic acquisition and initialization of articulated models , 2003, Machine Vision and Applications.

[72]  Larry S. Davis,et al.  Human body pose estimation using silhouette shape analysis , 2003, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003..

[73]  Hans-Peter Seidel,et al.  Free-viewpoint video of human actors , 2003, ACM Trans. Graph..

[74]  Yang Song,et al.  Unsupervised Learning of Human Motion , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[75]  Cristian Sminchisescu,et al.  Kinematic jump processes for monocular 3D human tracking , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[76]  David A. Forsyth,et al.  Finding and tracking people from the bottom up , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[77]  Takeo Kanade,et al.  Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[78]  Maja J. Mataric,et al.  Markerless kinematic model and motion capture from volume sequences , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[79]  Cristian Sminchisescu,et al.  Estimating Articulated Human Motion with Covariance Scaled Sampling , 2003, Int. J. Robotics Res..

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

[81]  Soon Ki Jung,et al.  Particle filter with analytical inference for human body tracking , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

[82]  Thomas S. Huang,et al.  Model-based human body tracking , 2002, Object recognition supported by user interaction for service robots.

[83]  Stefan Carlsson,et al.  Recognizing and Tracking Human Action , 2002, ECCV.

[84]  Cordelia Schmid,et al.  Learning to Parse Pictures of People , 2002, ECCV.

[85]  Michael J. Black,et al.  Implicit Probabilistic Models of Human Motion for Synthesis and Tracking , 2002, ECCV.

[86]  Yee Whye Teh,et al.  Automatic Alignment of Local Representations , 2002, NIPS.

[87]  Cristian Sminchisescu,et al.  Estimation algorithms for ambiguous visual models : Three Dimensional Human Modeling and Motion Reconstruction in Monocular Video Sequences. (Algorithmes d'estimation pour des modèles visuels ambigus : Modélisation Humaine Tridimensionnelle et Reconstruction du Mouvement dans des Séquences Vidéo Mon , 2002 .

[88]  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.

[89]  Stefan Carlsson,et al.  Uncalibrated motion capture exploiting articulated structure constraints , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[90]  Andrea Bottino,et al.  A Silhouette Based Technique for the Reconstruction of Human Movement , 2001, Comput. Vis. Image Underst..

[91]  Rómer Rosales,et al.  Estimating 3D body pose using uncalibrated cameras , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[92]  Ioannis A. Kakadiaris,et al.  Estimating Anthropometry and Pose from a Single Uncalibrated Image , 2001, Comput. Vis. Image Underst..

[93]  Pascal Fua,et al.  Tracking and Modeling People in Video Sequences , 2001, Comput. Vis. Image Underst..

[94]  Olivier D. Faugeras,et al.  3D Articulated Models and Multiview Tracking with Physical Forces , 2001, Comput. Vis. Image Underst..

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

[96]  Roberto Cipolla,et al.  Real-time tracking of highly articulated structures in the presence of noisy measurements , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[97]  James M. Rehg,et al.  Reconstruction of 3-D Figure Motion from 2-D Correspondences , 2001, CVPR 2001.

[98]  Ioannis A. Kakadiaris,et al.  Model-Based Estimation of 3D Human Motion , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[99]  David J. Fleet,et al.  Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.

[100]  Michael Isard,et al.  Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking , 2000, ECCV.

[101]  David A. Forsyth,et al.  How Does CONDENSATION Behave with a Finite Number of Samples? , 2000, ECCV.

[102]  Rómer Rosales,et al.  Inferring body pose without tracking body parts , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[103]  Masanobu Yamamoto,et al.  Scene constraints-aided tracking of human body , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[104]  Camillo J. Taylor,et al.  Reconstruction of articulated objects from point correspondences in a single uncalibrated image , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[105]  Mansoor Sarhadi,et al.  Non-linear statistical models for the 3D reconstruction of human pose and motion from monocular image sequences , 2000, Image Vis. Comput..

[106]  William T. Freeman,et al.  Bayesian Reconstruction of 3D Human Motion from Single-Camera Video , 1999, NIPS.

[107]  Matthew Brand,et al.  Shadow puppetry , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[108]  James M. Rehg,et al.  A multiple hypothesis approach to figure tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

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

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

[111]  Vladimir Pavlovic,et al.  A dynamic Bayesian network approach to figure tracking using learned dynamic models , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[112]  Shaogang Gong,et al.  A Dynamic 3D Human Model using Hybrid 2D-3D Representations in Hierarchical PCA Space , 1999, BMVC.

[113]  James M. Rehg,et al.  Singularity analysis for articulated object tracking , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[114]  Larry S. Davis,et al.  W4S: A real-time system detecting and tracking people in 2 1/2D , 1998, ECCV.

[115]  Helen C. Shen,et al.  3-D Reconstruction of Multipart Self-Occluding Objects , 1998, ACCV.

[116]  Jake K. Aggarwal,et al.  Human motion analysis: a review , 1997, Proceedings IEEE Nonrigid and Articulated Motion Workshop.

[117]  Vladimir Pavlovic,et al.  Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[118]  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.

[119]  Larry S. Davis,et al.  3-D model-based tracking of humans in action: a multi-view approach , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[120]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[121]  Larry S. Davis,et al.  Tracking of humans in action: a 3-D model-based approach , 1996 .

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

[123]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[124]  Hsi-Jian Lee,et al.  Determination of 3D human body postures from a single view , 1985, Comput. Vis. Graph. Image Process..

[125]  David C. Hogg.  Model-based vision: a program to see a walking person , 1983, Image Vis. Comput..

[126]  J. O'Rourke,et al.  Model-based image analysis of human motion using constraint propagation , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.