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» Robust Occlusion Handling in Object Tracking
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CVPR
2012
IEEE
11 years 10 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang
ICIP
2009
IEEE
13 years 5 months ago
Object tracking using multiple fragments
This paper presents a low-cost tracking algorithm based on multiple multiple fragments, increasing robustness with respect to partial occlusions. Given the initial template repres...
Claudio R. Jung, Amir Said
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Robust Rigid Head Motion Estimation Based on Differential Evolution
In this paper we present a system to robustly estimate the 3D position of a human head. Before the face model is positioned in the initial frame, it is adapted to the 3D scan of t...
Axel Weissenfeld, Onay Urfalioglu, Kang Liu, J&oum...
BMVC
2002
13 years 10 months ago
Real Time Robust Template Matching
One of the most popular methods to extract useful informations from an image sequence is the template matching approach. In this well known method the tracking of a certain featur...
Frédéric Jurie, Michel Dhome
MVA
2002
149views Computer Vision» more  MVA 2002»
13 years 7 months ago
3-Dimensional Tracking of Multiple Object Motions from Multi-view Images by Mixed-state CONDENSATION Algorithm
In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use Shape from silhouettes method to reconstruct...
Koichiro Deguchi, Koji Hamasaki, Taira Nakajima, T...