Publication Type : Conference Paper
Publisher : 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Source : 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Kochi, India (2015)
Url : http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7275960
Keywords : Action recognition, bifurcation, endpoint, head point, Video
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2015
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.
Cite this Research Publication :
M. Geetha, B., A. Suresh, Rohith, P., Gayathri Unni, and Harsha, M. P., “A Novel Method on Action Recognition Based on Region and Speed of Skeletal End points”, in 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, India, 2015