A Bhattacharyya-factor based Camshift application for video fast mobile target tracking

A Bhattacharyya-factor based scaling-down search window is proposed for tracking fast moving video target. Due to tracking errors arising from the limitation of initial search window size, the tracking result is prone to being trapped with local optimization when Camshift is directly applied. Aiming at the drawback identified, the author presents an approach in which the initial search window mapping is determined using Bhattacharyya factor in the scaled-down window area with color characteristics mapping of video target of interest, followed by utilizing Camshift algorithm to finally detecting the precise target position. Judging by the tracking precision defined, the tests are conducted on the real-world video sequence, suggesting the satisfactory tracking quality and its feasibility.