关键词: 目标跟踪, 多区域, 卡尔曼滤波, 灰度直方图, 图像处理

Abstract: A moving object tracking algorithm with related multi-regions based on Kalman filter was proposed to solve the occlusion and tracking excursion. Through locating multiple regions on the target and constructing undirected graphs, the algorithm calculated the predicted position of the center of each region by using Kalman filter firstly. Then by combining gray histogram match with positional relations of adjacent regions, it calculated the observation center of each region. At last, it realized tracking by revising the observation centers using Kalman filter. The experimental results of human tracking of two regions show that the proposed algorithm has better robustness and real-time performance than the result of tracking each region using Mean Shift algorithm under the occlusion or similar targets and backgrounds.

Key words: object tracking, multi-region, Kalman filter, gray histogram, image processing