@inproceedings{10d77f70ebfa4252aae55cc1c617d2da,
title = "Human detection using non-negative matrix factorization",
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 = "Biomedical imaging, Computer vision, Conferences, Feature extraction, Pattern recognition, Testing, Training",
author = "Zeng, {Jing Xiu} and Lin, {Chih Yang} and Lin, {Wei Yang}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7216949",
language = "???core.languages.en_GB???",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "370--371",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
}