Target Scale Adaptive Control Based on Comparing Bhattacharyya Coefficient

Abstract

Aiming at the limitations of the traditional mean shift, such as invariable kernel bandwidth, an improved tracking algorithm with the following strategies is proposed. The target model and the candidate are described by the similarity between them is evaluated by Bhattacharyya coefficient. This algorithm firstly calculates the Bhattacharyya coefficient of the template target histogram and template background histogram and calculates the Bhattacharyya coefficient of the candidate target histogram of the current frame and template background histogram when tracking. Then judge the change tendency of the target by comparing the two coefficients and correct the tracking window width with plus or minus 10% increment for subsequent frames target tracking. The experiments prove that the present method has better stability and robustness than the traditional algorithm and the kernel bandwidth can adapt to the size change of the target.