Publication Type:

Conference Paper

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

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.