关键词: 目标跟踪, 均值漂移, 窗宽自适应, Bhattacharyya系数

Abstract: Mean-Shift algorithm with fixed bandwidth often fails in tracking an object that moves too fast or owns a dramatic change in scale. To solve the problem, a novel Mean-Shift tracking algorithm based on adaptive bandwidth is proposed. Mean-Shift vector is used to predict the center position and automatically modulate the size of tracking window that fix the object inside the window and gain accurate object position. After the confirming of position, a Bhattacharyya coefficient based dichotomy is adopted to select the pantograph ratio automatically, and a tracking window adapt to the scale of object is obtained. Experiment results proved the algorithm’s capability in locating object’s position and scale.

Key words: object tracking, Mean-Shift, adaptive bandwidth, Bhattacharyya coefficient