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» Occlusion Modeling by Tracking Multiple Objects
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ECCV
2002
Springer
15 years 11 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
PAMI
2006
193views more  PAMI 2006»
14 years 9 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICCV
2007
IEEE
15 years 11 months ago
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
Strong lighting is common in natural scenes yet is often viewed as a nuisance for object pose estimation and tracking. In human shape and pose estimation, cast shadows can be conf...
Alexandru O. Balan, Michael J. Black, Horst W. Hau...
ICIP
2002
IEEE
15 years 11 months ago
Joint space-time image sequence segmentation based on volume competition and level sets
In this paper, we address the issue of joint space-time segmentation of image sequences. Typical approaches to such segmentation consider two image frames at a time, and perform t...
Mirko Ristivojevic, Janusz Konrad
CVPR
2007
IEEE
15 years 11 months ago
Change Detection in a 3-d World
This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose. No prior knowledge of the state of n...
Thomas Pollard, Joseph L. Mundy