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Human action recognition using simple geometric features and a finite state machine

Dudziński D, Kryjak T., Mikrut Z.

Image Processing & Communications

2013

Vol. 18, no. 2-3

49--60

In this paper a human action recognition algorithm, which uses background generation with shadow elimination, silhouette description based on simple geometrical features and a finite state machine for recognizing particular actions is described. The performed tests indicate that this approach obtains a 81 % correct recognition rate allowing real-time image processing of a 360 X 288 video stream.