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» Robust Incremental Subspace Learning for Object Tracking
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ECCV
2010
Springer
13 years 5 months ago
Discriminative Nonorthogonal Binary Subspace Tracking
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
Ang Li, Feng Tang, Yanwen Guo, Hai Tao
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
13 years 11 months ago
Robust SSD tracking with incremental 3D structure estimation
While the geometric aspects of structure and motion estimation from uncalibrated images are well understood, and it has great promise in applications, it has not seen widespread u...
Adam Rachmielowski, Dana Cobzas, Martin Jäger...
ICVS
2009
Springer
14 years 2 months ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
CVPR
2010
IEEE
14 years 19 days ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
PR
2007
96views more  PR 2007»
13 years 7 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof