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ICASSP
2011
IEEE
12 years 11 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
14 years 1 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
TCSV
2010
13 years 2 months ago
Object Tracking in Structured Environments for Video Surveillance Applications
Abstract--We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic m...
Junda Zhu, Yuanwei Lao, Yuan F. Zheng
ICVGIP
2008
13 years 8 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...
BMVC
2010
13 years 5 months ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool