关键词: 视觉跟踪, 平均后验概率指标, 自适应窗口

Abstract: For solving the problem that tracking algorithms with fixed tracking windows can not track an object which changes size during motion efficiently, this paper proposes a tracking method with an adaptive tracking window based on maximum average posterior probability indicator. On the basis of visual tracking algorithm on maximum posterior probability, this paper analyzes the posterior probability indicator of moving target when the tracking window largens or diminishes, and according to the average indicator in these windows, this method decides the update strategy of tracking window. The experimental results manifest that the method proposed in this paper can adjust the tracking window of rigid objects and nonrigid objects well, and track them steadily.

Key words: visual tracking, average posterior probability indicator, adaptive window