Conditional models for contextual human motion recognition
暂无分享,去创建一个
Cristian Sminchisescu | Dimitris N. Metaxas | Atul Kanaujia | C. Sminchisescu | A. Kanaujia | Atul Kanaujia
[1] 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).
[2] Cristian Sminchisescu,et al. Conditional Random Fields for Contextual Human Motion Recognition , 2005, ICCV.
[3] 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.
[4] Mubarak Shah,et al. Recognizing human actions in videos acquired by uncalibrated moving cameras , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[5] Pietro Perona,et al. Hybrid models for human motion recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[6] 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).
[7] Trevor Darrell,et al. Conditional Random Fields for Object Recognition , 2004, NIPS.
[8] Antonio Torralba,et al. Contextual Models for Object Detection Using Boosted Random Fields , 2004, NIPS.
[9] Ramakant Nevatia,et al. Video-based event recognition: activity representation and probabilistic recognition methods , 2004, Comput. Vis. Image Underst..
[10] 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).
[11] Cristian Sminchisescu,et al. Generative modeling for continuous non-linearly embedded visual inference , 2004, ICML.
[12] Samy Bengio,et al. Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[13] Cristian Sminchisescu,et al. Variational mixture smoothing for non-linear dynamical systems , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[14] Miguel Á. Carreira-Perpiñán,et al. Multiscale conditional random fields for image labeling , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[15] 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..
[16] Michael I. Jordan,et al. Factorial Hidden Markov Models , 1995, Machine Learning.
[17] David A. Forsyth,et al. Automatic Annotation of Everyday Movements , 2003, NIPS.
[18] Shaogang Gong,et al. Recognition of group activities using dynamic probabilistic networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[19] Martial Hebert,et al. Discriminative random fields: a discriminative framework for contextual interaction in classification , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[20] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[21] Andrew McCallum,et al. Efficiently Inducing Features of Conditional Random Fields , 2002, UAI.
[22] Eric Horvitz,et al. Layered representations for human activity recognition , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.
[23] M. Alex O. Vasilescu. Human motion signatures: analysis, synthesis, recognition , 2002, Object recognition supported by user interaction for service robots.
[24] 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.
[25] Patrick Bouthemy,et al. Non parametric motion recognition using temporal multiscale Gibbs models , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[26] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[27] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Dimitris N. Metaxas,et al. A Framework for Recognizing the Simultaneous Aspects of American Sign Language , 2001, Comput. Vis. Image Underst..
[29] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Andrew McCallum,et al. Maximum Entropy Markov Models for Information Extraction and Segmentation , 2000, ICML.
[31] Jesse Hoey,et al. Representation and recognition of complex human motion , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[32] Vladimir Pavlovic,et al. Impact of dynamic model learning on classification of human motion , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[33] Jake K. Aggarwal,et al. Human Motion Analysis: A Review , 1999, Comput. Vis. Image Underst..
[34] Dariu Gavrila,et al. The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..
[35] Michael Isard,et al. Learning Multi-Class Dynamics , 1998, NIPS.
[36] Claudio S. Pinhanez,et al. Human action detection using PNF propagation of temporal constraints , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[37] Michael J. Black,et al. A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions , 1998, ECCV.
[38] Vladimir Pavlovic,et al. Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[39] Alex Pentland,et al. Coupled hidden Markov models for complex action recognition , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[40] Christoph Bregler,et al. Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[41] Alex Pentland,et al. Real-time American Sign Language recognition from video using hidden Markov models , 1995 .
[42] 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.
[43] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[44] T. Sejnowski,et al. Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.