Stage Actor Tracking Method Based on Kalman Filter

摘要

Aiming at the problem that the traditional tracking algorithm could not accurately track the characters in the stage lighting environment, an improved method using Kalman filter is proposed. In the traditional background subtraction method based on hybrid Gaussian model, Kalman filter is introduced to establish the data structure of the tracking target, and the filtering prediction position and the detection position are matched to solve the problem of error detection area under the light interference. The experimental results show that the method has a good effect on the tracking of characters in the environment of stage lighting.