2013
DOI: 10.2478/v10248-012-0079-y
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Human action recognition using simple geometric features and a finite state machine

Abstract: 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.

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Cited by 2 publications
(1 citation statement)
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“…Rahman et al [ 50 ] proposed to use the surrounding regions of the human silhouette termed as negative space for recognition of human actions from video sequences. In our recent work [ 51 ] the simple but dynamic geometric features like height, width, head and feet positions of the silhouette, combined with a finite state machine, were used for recognition of several human actions.…”
Section: Related Workmentioning
confidence: 99%
“…Rahman et al [ 50 ] proposed to use the surrounding regions of the human silhouette termed as negative space for recognition of human actions from video sequences. In our recent work [ 51 ] the simple but dynamic geometric features like height, width, head and feet positions of the silhouette, combined with a finite state machine, were used for recognition of several human actions.…”
Section: Related Workmentioning
confidence: 99%