Recognizing human actions: a local SVM approach

Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper, we demonstrate how such features can be used for recognizing complex motion patterns. We construct video representations in terms of local space-t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Schuldt, C., Laptev, I., Caputo, B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Computer vision Frequency Humans Image recognition Pattern recognition Performance evaluation Spatial databases Support vector machine classification Support vector machines
Online-Zugang:	Volltext bestellen
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