Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest
暂无分享,去创建一个
[1] T. Kanade,et al. Reconstructing 3D Human Pose from 2D Image Landmarks , 2012, ECCV.
[2] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] A. Elgammal,et al. Inferring 3D body pose from silhouettes using activity manifold learning , 2004, CVPR 2004.
[4] 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).
[5] Martin A. Fischler,et al. The Representation and Matching of Pictorial Structures , 1973, IEEE Transactions on Computers.
[6] Richard Bowden,et al. Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images , 2006, ECCV.
[7] Min Sun,et al. Conditional regression forests for human pose estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Bernt Schiele,et al. Monocular 3D pose estimation and tracking by detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Luc Van Gool,et al. Coupled Action Recognition and Pose Estimation from Multiple Views , 2012, International Journal of Computer Vision.
[10] Ankur Agarwal,et al. Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Philip H. S. Torr,et al. Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors , 2012, International Journal of Computer Vision.
[12] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[13] Michael J. Black,et al. Estimating human shape and pose from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[14] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, CVPR.
[15] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[16] Francesc Moreno-Noguer,et al. Single image 3D human pose estimation from noisy observations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Ruigang Yang,et al. Accurate 3D pose estimation from a single depth image , 2011, 2011 International Conference on Computer Vision.
[18] Hans-Peter Seidel,et al. Outdoor human motion capture using inverse kinematics and von mises-fisher sampling , 2011, 2011 International Conference on Computer Vision.
[19] Antonio Criminisi,et al. Regression Forests for Efficient Anatomy Detection and Localization in CT Studies , 2010, MCV.
[20] Tae-Kyun Kim,et al. Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests , 2010, BMVC.
[21] Luc Van Gool,et al. Action snippets: How many frames does human action recognition require? , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Jinxiang Chai,et al. Modeling 3D human poses from uncalibrated monocular images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[23] Andrew Zisserman,et al. 2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images , 2012, International Journal of Computer Vision.
[24] Michael Isard,et al. Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation , 2011, International Journal of Computer Vision.
[25] Ronald Poppe,et al. Vision-based human motion analysis: An overview , 2007, Comput. Vis. Image Underst..
[26] Patrick Pérez,et al. Joint pose estimation and action recognition in image graphs , 2011, 2011 18th IEEE International Conference on Image Processing.
[27] David C. Hogg. Model-based vision: a program to see a walking person , 1983, Image Vis. Comput..
[28] David A. Forsyth,et al. Finding people by sampling , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[29] Andrew W. Fitzgibbon,et al. The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Silvio Savarese,et al. An efficient branch-and-bound algorithm for optimal human pose estimation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Michael J. Black,et al. HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.
[32] Hans-Peter Seidel,et al. A data-driven approach for real-time full body pose reconstruction from a depth camera , 2011, 2011 International Conference on Computer Vision.
[33] Andrew W. Fitzgibbon,et al. Semi-supervised Learning of Joint Density Models for Human Pose Estimation , 2006, BMVC.
[34] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.