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Volumn 8157 LNCS, Issue PART 2, 2013, Pages 419-428

MATRIOSKA: A multi-level approach to fast tracking by learning

Author keywords

interest points; keypoint based methods; learning; real time; Tracking by detection

Indexed keywords

INTEREST POINTS; KEYPOINT-BASED METHODS; LEARNING; REAL-TIME; TRACKING BY DETECTIONS;

EID: 84884724917     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41184-7_43     Document Type: Conference Paper
Times cited : (53)

References (26)
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  • 18
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    • Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
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    • Online Tracking and Reacquisition Using Cotrained Generative and Discriminative Trackers
    • Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. Springer, Heidelberg
    • Yu, Q., Dinh, T.B., Medioni, G.G.: Online Tracking and Reacquisition Using Cotrained Generative and Discriminative Trackers. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 678-691. Springer, Heidelberg (2008)
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    • Semi-supervised On-Line Boosting for Robust Tracking
    • Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. Springer, Heidelberg
    • Grabner, H., Leistner, C., Bischof, H.: Semi-supervised On-Line Boosting for Robust Tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 234-247. Springer, Heidelberg (2008)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.