Object Tracking Benchmark

Object tracking has been one of the most important and active research areas in the field of computer vision. A large number of tracking algorithms have been proposed in recent years with demonstrated success. However, the set of sequences used for evaluation is often not sufficient or is sometimes...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 37; H. 9; S. 1834 - 1848
Hauptverfasser:	Wu, Yi, Lim, Jongwoo, Yang, Ming-Hsuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms benchmark dataset Histograms Object tracking Performance evaluation Robustness Target tracking performance evaluation Object tracking benchmark dataset
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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