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» Robust Online Appearance Models for Visual Tracking
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PAMI
2007
194views more  PAMI 2007»
13 years 4 months ago
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Datong Chen, Jie Yang
ACCV
2006
Springer
13 years 11 months ago
Online Updating Appearance Generative Mixture Model for Meanshift Tracking
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
Jilin Tu, Hai Tao, Thomas S. Huang
CLEAR
2006
Springer
142views Biometrics» more  CLEAR 2006»
13 years 9 months ago
Robust Appearance Modeling for Pedestrian and Vehicle Tracking
Abstract. This paper describes a system for tracking people and vehicles for stationary-camera visual surveillance. The appearance of objects being tracked is modeled using mixture...
Wael Abd-Almageed, Larry S. Davis
ECCV
2008
Springer
14 years 7 months ago
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
Gérard G. Medioni, Qian Yu, Thang Ba Dinh
CVPR
2008
IEEE
14 years 7 months ago
Visual tracking with histograms and articulating blocks
We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histo...
S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang