A Video Tracking Algorithm For UAV Based On Differential Evolution Particle Filter
Video and image tracking algorithm is critical to unmanned aerial vehicle (UAV) tracking mission. In order to overcome the performance bottleneck of the conventional video tracking algorithm, a new video tracking algorithm based on differential evolutionary particle filter is proposed. It substantially improves standard particle filter via using the crossover and mutation operators, the new video tracking algorithm integrates the differential evolutionary particle filter and the color histogram character. Simulation results show that the new algorithm performs well for UAV tracking problems.
Differential evolutionary Particle filter Differential evolutionary particle filter Video tracking algorithm
HAN Yu WANG Longsheng YU Yunzhi
Jiangsu Automation Research Institute, Lianyungang 222006, China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3955-3959
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）