@inproceedings{e39cad0edc9948c596db7281aa76c76d,
title = "Pedestrian detection based on multi-modal cooperation",
abstract = "Pedestrian detection plays an important role in automated surveillance system. However, it is challenging to detect pedestrian robustly and accurately in a cluttered environment. In this paper, we propose a new cooperative pedestrian detection method using both colour and thermal image sequences, which is compared with the method using only colour image sequence and that using multi-modal fusion. Experiment results show that our cooperative detection mechanism could get more accurate pedestrian areas, a lower false alarm rate and a higher detection precision. Therefore, it has broad application prospects in the field of industry and military.",
author = "Zhang, \{Yan Ning\} and Tong, \{Xiao Min\} and Zhang, \{Xiu Wei\} and Zheng, \{Jiang Bin\} and Jun Zhou and You, \{Si Wei\}",
year = "2008",
doi = "10.1109/MMSP.2008.4665065",
language = "英语",
isbn = "9781424422951",
series = "Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008",
pages = "148--152",
booktitle = "Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008",
note = "2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 ; Conference date: 08-10-2008 Through 10-10-2008",
}