The Approach for Action Recognition Based on the Reconstructed Phase Spaces
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel method of human action recognition, which is based on the reconstructed phase space.
Firstly, the human body is divided into 15 key points, whose trajectory represents the human body behavior, and the modified particle filter is used to track these key points for self-occlusion.
Secondly, we reconstruct the phase spaces for extracting more useful information from human action trajectories.
Finally, we apply the semisupervised probability model and Bayes classified method for classification.
Experiments are performed on the Weizmann, KTH, UCF sports, and our action dataset to test and evaluate the proposed method.
The compare experiment results showed that the proposed method can achieve was more effective than compare methods.
American Psychological Association (APA)
Tu, Hong-bin& Xia, Limin. 2014. The Approach for Action Recognition Based on the Reconstructed Phase Spaces. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049836
Modern Language Association (MLA)
Tu, Hong-bin& Xia, Limin. The Approach for Action Recognition Based on the Reconstructed Phase Spaces. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1049836
American Medical Association (AMA)
Tu, Hong-bin& Xia, Limin. The Approach for Action Recognition Based on the Reconstructed Phase Spaces. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049836
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049836