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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2008
IEEE
14 years 11 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICPR
2010
IEEE
14 years 2 months ago
Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios
Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the litera...
Andres Sanin, Conrad Sanderson, Brian Carrington L...
NIPS
2004
13 years 10 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
TREC
2008
13 years 10 months ago
The University College London at TREC 2008 Enterprise Track
The University College London Information Retrieval Group participated in both the Expert Search and Document Search tasks in the TREC2008 Enterprise Track. We used a generic two-...
Jianhan Zhu
VMV
2008
168views Visualization» more  VMV 2008»
13 years 10 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll