High Dynamic Target Fast Tracking Method Based on Vector Analysis and Kalman Filtering

摘要

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.