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» A mutual information approach to articulated object tracking
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CVPR
2005
IEEE
16 years 8 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 11 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
IPSN
2003
Springer
15 years 11 months ago
Maximum Mutual Information Principle for Dynamic Sensor Query Problems
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
Emre Ertin, John W. Fisher, Lee C. Potter
ICIAR
2004
Springer
15 years 11 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ICPR
2008
IEEE
16 years 7 months ago
Multi-cue collaborative kernel tracking with cross ratio invariant constraint
In this paper, a novel multi-cue collaborative kernel tracking algorithm is proposed. A new constraint based on the property of cross ratio invariant enables tracking of objects i...
Hanqing Lu, Jian Cheng, Lili Ma