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» Tracking features on a moving object using local image bases
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PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
13 years 11 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
WACV
2012
IEEE
12 years 2 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
DAGM
2010
Springer
13 years 8 months ago
Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes
A multi-class traffic scene segmentation approach based on scene flow data is presented. Opposed to many other approaches using color or texture features, our approach is purely ba...
Alexander Barth, Jan Siegemund, Annemarie Mei&szli...
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
13 years 10 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...
ICIP
2009
IEEE
13 years 4 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi