Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
Estimating anthropometry and pose from a single uncalibrated image
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Tracking and modeling people in video sequences
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Learning and Synthesizing Human Body Motion and Posture
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Human Body Postures from Trinocular Camera Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Automated Body Modeling from Video Sequences
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Towards robust 3d reconstruction of human motion from monocular video
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Model based full body human motion reconstruction from video data
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
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One of the important problems in human motion analysis is the 3D reconstruction of human motion, which utilizes the anatomic point's positions. These points can uniquely define the position and orientation of all anatomical segments. In this paper, a new method for reconstruction of human motion from the image sequence of a single static camera is described. In this method 2D tracking is used for 3D reconstruction, which a database of selected frames are used for the correction of tracking process. We use Discrete Cosine Transform (DCT) block as a "Matrix des criptor" used in the matching process for finding appropriate frame in the database and tracking process. Finally, 3D reconstruction is performed using Taylor method. By using DCT, we can select best frequency region for various tasks such as tracking, matching, correcting joints and so on. Experimental results showed the promise of the algorithm.