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One-class support v...
One-class support vector machine-assisted robust tracking
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- Fu, Keren, 1988 (författare)
- Ministry of Education China,Shanghai Jiao Tong University
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- Gong, Chen (författare)
- Ministry of Education China,Shanghai Jiao Tong University
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- Qiao, Yu (författare)
- Ministry of Education China,Shanghai Jiao Tong University
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- Yang, Jie (författare)
- Ministry of Education China,Shanghai Jiao Tong University
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- Gu, Irene Yu-Hua, 1953 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2013
- 2013
- Engelska.
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Ingår i: Journal of Electronic Imaging. - 1017-9909. ; 22:2, s. 11-
- Relaterad länk:
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http://publications.... (primary) (free)
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Recently, tracking is regarded as a binary classification problem by discriminative tracking methods. However, such binary classification may not fully handle the outliers, which may cause drifting. We argue that tracking may be regarded as one-class problem, which avoids gathering limited negative samples for background description. Inspired by the fact the positive feature space generatedby one-class support vector machine (SVM) is bounded by a closed hyper sphere, we propose a tracking method utilizing one-class SVMs that adopt histograms of oriented gradient and 2bit binary patterns as features. Thus, it is called the one-class SVM tracker (OCST). Simultaneously, an efficient initialization and online updating scheme is proposed. Extensive experimental results prove that OCST outperforms some state-of-the-art discriminative tracking methods that tackle the problem using binary classifiers on providing accurate tracking and alleviating serious drifting.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- support vector machine
- visual object tracking
- multiple instant learning
- detection and tracking
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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