A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Inferring 3D Structure with a Statistical Image-Based Shape Model
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Silhouette Lookup for Automatic Pose Tracking
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparison of Silhouette Shape Descriptors for Example-based Human Pose Recovery
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Recovering 3D Human Body Configurations Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Moving object segmentation by background subtraction and temporal analysis
Image and Vision Computing
Inferring 3D body pose from silhouettes using activity manifold learning
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real time multiple people tracking and pose estimation
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
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Vision-based human pose estimation is useful in pervasive computing. In this paper, we proposed an example-based approach to human pose estimation from monocular image sequences. We use human motion capture data to synthesize a pose example database with each pose's 3D information known. Firstly, we use shape context to describe the human silhouette detected from video frames, and get candidates from the pose database by silhouette matching; Secondly, we build probability and statistical model of motion, and carry out pose estimation from these candidates; Finally, Kernel Regression is used to smooth the motion. The proposed method could effectively analyze 3D pose from video and solve the orientation ambiguities problem, also it is invariant to view points. The effectiveness of this method is verified on videos of walking, running and jumping.