Human action recognition using simple geometric features and a finite state machine
2013 ◽
Vol 18
(2-3)
◽
pp. 49-60
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Keyword(s):
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.
2021 ◽
Keyword(s):
2014 ◽
Vol 989-994
◽
pp. 2731-2734
2012 ◽
Vol 26
(08)
◽
pp. 1260009
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2014 ◽
Vol 599-601
◽
pp. 1571-1574
2013 ◽
Vol 631-632
◽
pp. 1303-1308
Keyword(s):