DocumentCode
3752190
Title
Human action recognition based on non-negative matrix factorization
Author
Chih-Yang Lin;Bo-You Chen;Wen-Chuan Wu;Wei-Yang Lin;Chia-Ling Tsai
Author_Institution
Dept. of Computer Science & Information Engineering, Asia University, Taichung, Taiwan
fYear
2015
Firstpage
1091
Lastpage
1093
Abstract
In this paper, we propose a method to recognize human behavior by combining motion history images (MHI) and non-negative matrix factorization (NMF). The MHI preserves the temporal information of a behavior by holding the temporal motion appearance. Then, NMF is applied to extract the middle-level features of the moving object. The experimental results show that the proposed scheme can achieve robust recognition results using a public dataset.
Keywords
"History","Feature extraction","Image recognition","Electronic mail","Training","Computer science","Computer vision"
Publisher
ieee
Conference_Titel
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
Type
conf
DOI
10.1109/APSIPA.2015.7415440
Filename
7415440
Link To Document