In order to solve the problem of obscuring of target

the related filtering tracking algorithm keeps updating the target model and the filter model after the tracking frame drifts

which cause background information is updated into the target model and filter model

an adaptive model updating strategy is proposed. New target position is obtained by using the correlation filtering method. Statistical covariance feature of the new target position is extracted and its similarity with the covariance template is calculated. Judge whether update target model and filter model according to similarity or not. The experimental results show that the proposed method effectively solves the problem of target model updating and filter model updating due to target deformation and occlusion

and improves the precision of the related filtering target tracking.