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CVPR
2009
IEEE
15 years 1 months ago
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
Jixu Chen, Minyoung Kim, Yu Wang, Qiang Ji
CVPR
2003
IEEE
15 years 11 months ago
Finding and Tracking People from the Bottom Up
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
Deva Ramanan, David A. Forsyth
MVA
2002
186views Computer Vision» more  MVA 2002»
14 years 9 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
NIPS
2007
14 years 11 months ago
Combined discriminative and generative articulated pose and non-rigid shape estimation
Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
ICIAR
2010
Springer
15 years 2 months ago
Generic Initialization for Motion Capture from 3D Shape
Abstract. Real time and markerless motion capture is an active research area, due to applications in human-computer interactions, for example. A large part of the existing markerle...
Benjamin Raynal, Michel Couprie, Vincent Nozick