Action Recognition by Local Space-Time Features and Least Square Twin SVM (LS-TSVM)

In this research a new approach for human action recognition is proposed. At first, local space-time features extracted which recently becomes a popular video representation. Feature extraction is done with use of Harris detector algorithm and Histogram of Optical Flow (HOF) descriptor. Then we appl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mozafari, K., Nasiri, J. A., Charkari, N. M., Jalili, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Action Recognition Computer vision Feature extraction Harris Histogram of Optical Floow (HOF) Histograms Humans KTH dataset LS-TSVM Support vector machines Training data Twin Support Vector Machines
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