基于Mean Shift算法的安全帽跟踪

In this paper,the significance of intelligent video monitoring for the coal mining enterprises is analyzed,and tactics of human movement tracking based on feature of safety helmet is proposed. Tracking algorithm to track personnel safety helmets in coal preparation plant base on Mean Shift algorithm is adopted. First,the basics of Mean Shift algorithm is introduced,then,Mean Shift tracking algorithm based on column diagram feature of safety helmet's color is designed.and the Mean Shift algorithm is improved to adaptive the changes of moving objects in video.At last, the tracking experiment of safety helmet of workers in surveillance video of coal preparation plant is did.The experimental results shows that the Mean Shift algorithm can track safety helmets of coal preparation plant workers real-timely and stably.