关键词: 目标跟踪, Kalman滤波, Camshift算法, Bhattacharyya系数, 匹配窗口

Abstract: A video object tracking method combining the Bhattacharyya coefficients maximization with spatial-temporal information was proposed. The Kalman filter was used to predict the target movement information in the time domain, while in the space domain the target was precisely matched by using Camshift algorithm. Due to the strong maneuverability of the moving target, there will be a relatively big discrepancy between the predicted and true position, which will cause failure in tracking for the upcoming frame. To deal with this problem, a kernel matching approach based on Bhattacharyya coefficients was adopted in a way from rough to precise. The search scope was properly increased based on the position of the prediction, and the initial matching window was defined according to the Bhattacharyya coefficients maximization. Finally, the target was precisely matched by applying Camshift algorithm. The experimental results indicate that the proposed method is highly precise in tracking fast maneuvering moving target.

Key words: target tracking, Kalman filter, Camshift algorithm, Bhattacharyya coefficient, matching window