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» Further results for ARX models in adaptive tracking
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WACV
2005
IEEE
13 years 11 months ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ECCV
2010
Springer
13 years 9 months ago
Closed-loop Adaptation for Robust Tracking
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
HUMO
2007
Springer
13 years 11 months ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
ICIP
2010
IEEE
13 years 3 months ago
A cascaded hierarchical framework for moving object detection and tracking
In this paper we propose a cascaded hierarchical framework for object detection and tracking. We claim that, by integrating both detection and tracking into a unified framework, t...
Chingchun Huang, Sheng-Jyh Wang
ICASSP
2011
IEEE
12 years 9 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...