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» Probabilistic Object Tracking Using Multiple Features
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ICIP
2004
IEEE
14 years 10 months ago
Evaluation of shadow classification techniques for object detection and tracking
In a football stadium environment with multiple overhead floodlights, many protruding shadows can be observed originating from each of the targets. To successfully track individua...
John-Paul Renno, James Orwell, Graeme A. Jones
CVPR
2010
IEEE
14 years 4 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
CVIU
2006
129views more  CVIU 2006»
13 years 9 months ago
Integrating multiple levels of zoom to enable activity analysis
In this paper, we present a multi-zoom framework for activity analysis in situations requiring combinations of both detailed and coarse views of the scene. The epipolar geometry i...
Paul Smith, Mubarak Shah, Niels da Vitoria Lobo
WACV
2008
IEEE
14 years 3 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
HUC
2005
Springer
14 years 2 months ago
A New Method for Auto-calibrated Object Tracking
Ubiquitous computing technologies which are cheap and easy to use are more likely to be adopted by users beyond the ubiquitous computing community. We present an ultrasonic-only tr...
Paul Duff, Michael R. McCarthy, Angus Clark, Henk ...