Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
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[1] Michael I. Jordan,et al. Learning with Mixtures of Trees , 2001, J. Mach. Learn. Res..
[2] Mads Nielsen,et al. Computer Vision — ECCV 2002 , 2002, Lecture Notes in Computer Science.
[3] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[4] Andrew Blake,et al. Probabilistic tracking in a metric space , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[5] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[6] Antonio Torralba,et al. Contextual Models for Object Detection Using Boosted Random Fields , 2004, NIPS.
[7] Trevor Darrell,et al. Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[8] Stefan Carlsson,et al. Recognizing and Tracking Human Action , 2002, ECCV.
[9] David C. Hogg. Model-based vision: a program to see a walking person , 1983, Image Vis. Comput..
[10] Yang Song,et al. Unsupervised Learning of Human Motion , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[11] David A. Forsyth,et al. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis , 2005, Found. Trends Comput. Graph. Vis..
[12] Cristian Sminchisescu,et al. BM³E : Discriminative Density Propagation for Visual Tracking , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Daniel P. Huttenlocher,et al. Spatial priors for part-based recognition using statistical models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[14] 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.
[15] Sergey Ioffe,et al. Human tracking with mixtures of trees , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[16] Ralph Gross,et al. The CMU Motion of Body (MoBo) Database , 2001 .
[17] Martin J. Wainwright,et al. A new class of upper bounds on the log partition function , 2002, IEEE Transactions on Information Theory.
[18] 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.
[19] Yang Wang,et al. Boosted Multiple Deformable Trees for Parsing Human Poses , 2007, Workshop on Human Motion.
[20] Svetha Venkatesh,et al. AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[21] 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).
[22] Jitendra Malik,et al. Estimating Human Body Configurations Using Shape Context Matching , 2002, ECCV.
[23] Michael I. Mandel,et al. Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation , 2004, NIPS.
[24] 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.
[25] Deva Ramanan,et al. Learning to parse images of articulated bodies , 2006, NIPS.