@inproceedings{dc88597c59314d43aa4306797080d9ed,
title = "Human action recognition based on non-negative matrix factorization",
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 = "Action recognition, motion history image, non-negative matrix factorization",
author = "Lin, {Chih Yang} and Chen, {Bo You} and Wu, {Wen Chuan} and Lin, {Wei Yang} and Tsai, {Chia Ling}",
note = "Publisher Copyright: {\textcopyright} 2015 Asia-Pacific Signal and Information Processing Association.; 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 ; Conference date: 16-12-2015 Through 19-12-2015",
year = "2016",
month = feb,
day = "19",
doi = "10.1109/APSIPA.2015.7415440",
language = "???core.languages.en_GB???",
series = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1091--1093",
booktitle = "2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015",
}