Mixed Features Based Improved Human Action Recognition Algorithm
2014 ◽
Vol 989-994
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pp. 2731-2734
Keyword(s):
The choice of the motion features affects the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of human body, environment and video camera. So the accuracy of action recognition is limited. On the basis of studying the representation and recognition of human actions, and giving full consideration to the advantages and disadvantages of different features, this paper proposes a mixed feature which combines global silhouette feature and local optical flow feature. This combined representation is used for human action recognition.
2013 ◽
Vol 18
(2-3)
◽
pp. 49-60
◽
Keyword(s):
2010 ◽
pp. 411-421
◽
Keyword(s):
2013 ◽
Vol 631-632
◽
pp. 1303-1308
Keyword(s):