Approach of Moving Object Detection Based on Image Blocks and Improved Particle Filter Algorithm
基于分块和改进粒子滤波的运动目标检测方法

In order to detect moving objects quickly and accurately,a method of moving object detection based on image blocks and improved particle filter algorithm was proposed. Firstly, image sectuence was split into blocks and color fea- tures were extracted. I}hen, each image block was processed by the improved particle filter to obtain the weights of par- tides. Finally, according to the average weight of particles, we constructed background model and subtract moving ob- jects. Compared with other detection methods based on single pixel,the proposed method reduces the algorithm compu- tation obviously and improves the execution speed of the code. Experimental results show that this method can accurately and intactly detect moving objects even when faced with repetitive background movement,multi-modal background and illumination changes.