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» Adaptive object tracking by learning background context
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ECCV
2010
Springer
15 years 1 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
WACV
2012
IEEE
13 years 5 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
ICCV
2011
IEEE
13 years 9 months ago
Hough-based Tracking of Non-Rigid Objects
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
Martin Godec, Peter M. Roth, Horst Bischof
76
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GI
2009
Springer
14 years 7 months ago
An Adaptative Framework for Tracking Web-based Learning Environments
: Collecting and sharing attention information represents a main concern within the Technology Enhanced Learning community, as the number of works or projects related to this topic...
Valentin Butoianu, Philippe Vidal, Julien Broisin
ICIP
2009
IEEE
14 years 7 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...