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» Learning to Track with Multiple Observers
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PAMI
2011
12 years 10 months ago
Robust Object Tracking with Online Multiple Instance Learning
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
Boris Babenko, Ming-Hsuan Yang, Serge Belongie
CVPR
2010
IEEE
14 years 25 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...
ICASSP
2011
IEEE
12 years 11 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ATAL
2005
Springer
14 years 1 months ago
Real-time dense communication among agents for active tracking
For multi-target tracking, we realize the increase in number of simultaneously trackable objects and tracking stability by improving the way of communication proposed in [1] so th...
Norimichi Ukita
ICALT
2008
IEEE
14 years 2 months ago
Students' Tracking Data: An Approach for Efficiently Tracking Computer Mediated Communications in Distance Learning
This paper presents an approach for closely observing the different levels of Human and Computer Interactions during student’s communication activities on Computer Mediated Comm...
Madeth May, Sébastien George, Patrick Pr&ea...