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» Tracking Moving Objects Improves Recognition
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IROS
2006
IEEE
190views Robotics» more  IROS 2006»
14 years 1 months ago
SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems
— Tracking of miniature robotic platforms involves major challenges in image recognition and data association. We present our 3-year effort into developing the platform-independe...
Nikolaus Correll, Grégory Sempo, Yuri L&oac...
ICPR
2010
IEEE
14 years 24 days ago
Object Tracking by Structure Tensor Analysis
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
Michael Donoser, Stefan Kluckner, Horst Bischof

Publication
468views
13 years 4 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...
CVPR
2008
IEEE
14 years 10 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
14 years 2 months ago
An Object Tracking Scheme Based on Local Density
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
Zhuan Qing Huang, Zhuhan Jiang