关键词: 运动注意力, 粒子滤波, 自底向上和自顶向下, 全局运动场景, 目标检测

Abstract: In order to detect moving target more accurately in global motion scene, a moving target detection method based on the motion attention and particle filter combining bottom-up and top-down is proposed. The motion attention model is built based on Motion Vector Field （MVF） estimated by multi-scale variable block motion estimation, the motion attention map and the initial distribution of the motion attention are obtained. A top-down particle filter with color information is adopted to adjust the distribution of motion attention. Attention only focuses on the expected moving target, which is convenient for target extraction. The experimental results show that the proposed method can detect target more accurately in the global motion scene.

Key words: motion attention, particle filter, bottom-up and top-down, global motion scene, target detection