High Dynamic Target Fast Tracking Method Based on Vector Analysis and Kalman Filtering
Fawei Wang, Yiran Chen · 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2020
A new Meanshift fast moving target tracking method is proposed for high dynamic fast moving target tracking. Based on vector analysis and Kalman filtering, this method can predict the moving position of the target in the next frame, and re-match the probability density function of the target model and the candidate model, so as to realize the persistent tracking of the high dynamic target. Experimental results show that the method is effective.