Ensemble tracking based on randomized trees

Object tracking is an active yet challenging research topic in computer vision. Recently, a trend to treat the problem as a classification problem is boom. By such a paradigm, a discriminative classifier is trained and updated during tracking procedure. In this paper, the ensemble of randomized tree...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gu Xingfang, Mao Yaobin, Kong Jianshou
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation models adaptive appearance model Algorithm design and analysis Computer vision extremely randomized trees Radio frequency random forests Training Vegetation Visual tracking Visualization
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