DocumentCode :
3659799
Title :
A noval method on action recognition based on region and speed of skeletal end points
Author :
Geetha M; Aparna Suresh B; Rohith P;Gayathri Unni; Harsha M.P
Author_Institution :
AmritaVishwa Vidyapeetham, Amrita School of Engineering, Tamil Nadu 641112, India
fYear :
2015
Firstpage :
2296
Lastpage :
2301
Abstract :
This paper proposes a method to recognize human actions from a video sequence. The actions include walking, running, jogging, hand waving, clapping and boxing. The actions are categorized after recognition using a decision tree. Apart from other algorithms, our proposed method recognizes single human actions considering the speed, direction and the percentage of endpoints as a novel approach. In addition to action recognition this paper also proposes an error correction method for removing bifurcation. The system has been checked on various datasets and it performed well.
Keywords :
"Legged locomotion","Bifurcation","Algorithm design and analysis","Computer vision","Face recognition","Accuracy","Fingerprint recognition"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275960
Filename :
7275960
Link To Document :
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