DocumentCode
1726649
Title
Human detection using non-negative matrix factorization
Author
Jing-Xiu Zeng ; Chih-Yang Lin ; Wei-Yang Lin
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2015
Firstpage
370
Lastpage
371
Abstract
Currently, most of the human detection methods are based on low-level features. In this paper, we proposed a middle-level feature generation method based on non-negative matrix factorization (NMF) for human detection. We also proposed an improvement scheme to guarantee that a better middle-level feature can be achieved. The proposed scheme can be applied to a complex background and the experimental results are better than those when only the low-level feature is involved.
Keywords
matrix decomposition; object detection; human detection; middle-level feature generation method; non-negative matrix factorization; Biomedical imaging; Computer vision; Conferences; Feature extraction; Pattern recognition; Testing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICCE-TW.2015.7216949
Filename
7216949
Link To Document