关键词: 抠像, 图像融合, 目标跟踪, 模板更新, 漂移

Abstract: A precise object tracking algorithm for fusion image based on local image matting was proposed in this paper to improve the tracking effect. Firstly, the rough region of the moving target could be captured by the minus of the sequence’s first two frames and therefore the rectangle was generated for local matting and the discriminative color set of foreground and background. Then the coarse region and the following tracking results automatically provided sufficient and accurate scribbles for matting, which made matting applicable in a tracking system. Finally accurate boundaries of the target could be obtained from matting results so that the model was successfully updated. For experimental image sequences, the mean error of the proposed algorithm was 0.9 pixels between forecasted center and real center of target, and that of traditional mean-shift was 5.2 pixels. The experimental results show that the proposed algorithm can detect the contour of target accurately, ovviously avoids model drift and promotes precision of tracking.

Key words: image matting, image fusion, object tracking, model update, drift