@inproceedings{aa00c3cdc3144e56b327ac7dda879b5b,
title = "Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance",
abstract = "The development of moving object detection systems has become of great interest in the video surveillance field. Although many foreground detection methods have been proposed, the problems of incomplete object shapes and misclassified shadow regions remain. We propose a new approach by combining bit-planes representation with gray-level co-occurrence matrix (GLCM). This allows the system to exploit the motion history and remove the shadow, respectively. As shown by experiments in Section 3, our approach is efficient and robust for detecting moving objects in real-time.",
author = "Kahlil Muchtar and Yeh, \{Chia Hung\} and Jian, \{Zhi Yao\} and Lin, \{Chih Yang\} and Lin, \{Wei Yang\} and Huang, \{Wan Jen\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 ; Conference date: 12-06-2017 Through 14-06-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/ICCE-China.2017.7990965",
language = "???core.languages.en\_GB???",
series = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--2",
booktitle = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",
}