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» Robust evidence-based object tracking
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CVPR
2011
IEEE
13 years 2 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
14 years 5 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICRA
2007
IEEE
201views Robotics» more  ICRA 2007»
14 years 5 months ago
Realtime and Robust Motion Tracking by Matched Filter on CMOS+FPGA Vision System
— This paper describes realtime and robust tracking of a planar motion target by matched filter implemented on the CMOS+FPGA vision system. It is required to obtain positional a...
Kazuhiro Shimizu, Shinichi Hirai
ICPR
2008
IEEE
15 years 10 days ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...
ICPR
2006
IEEE
15 years 7 days ago
A Target Dependent Colorspace for Robust Tracking
The selection of the appropriate colorspace for tracking applications has not been an issue previously considered in the literature. Many color representations have been suggested...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...