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Recognition of actions in meeting videos using timed automata

Pelc L., Kwolek B.

Machine Graphics and Vision

2006

Vol. 15, No. 3/4

577-584

This paper addresses the problem of action recognition in meeting videos. A declarative knowledge provided graphically by the user together with person positions extracted by a tracking algorithm are used to generate the data for recognition. The actions have been formally specified using timed automata. The specification was verified on the basis of simulation tests as well as an analysis. The tracking is accomplished using a particle filter built on cues such as color, gradient and shape.