An optimized Particle Filter Target Tracking Technology

In this paper, an optimized particle filter target tracking technology is proposed. In order to bring the estimated result of particle filter closer to the true value, a regular particle filter algorithm is chosen instead of the standard particle filter algorithm. In addition, this paper analyzes and improves the description of the target in the particle filter algorithm, and uses the covariance matrix technique to fuse the various information of the image to describe the target. Experiments show that the feature point tracking algorithm based on particle filter Target attitude change and the same color interference has good adaptability.