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» A Bayesian Framework for Multi-cue 3D Object Tracking
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VMV
2008
170views Visualization» more  VMV 2008»
13 years 9 months ago
Robust contour-based object tracking integrating color and edge likelihoods
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
Giorgio Panin, Erwin Roth, Alois Knoll
CVPR
2000
IEEE
13 years 12 months ago
Adaptive Bayesian Recognition in Tracking Rigid Objects
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
Yuri Boykov, Daniel P. Huttenlocher
CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
IJCV
2007
146views more  IJCV 2007»
13 years 7 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
ICIP
2008
IEEE
14 years 1 months ago
Efficient motion estimation under varying illumination
In this paper, we show how to estimate, accurately and efficiently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene. This is achieved i...
Yilei Xu, Amit K. Roy Chowdhury