Pedestrian detection based on multi-modal cooperation
Yanning Zhang, Xiao-min Tong, Xiuwei Zhang, Jiangbin Zheng, Zhou Jun, Si-wei You · 2008
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.