National Natural Science Foundation of China (61971339); Key R&D Program of Shaanxi Provincial Department of Science and Technology (2019GY-113);
Aiming at the problem of moving object detection in dither camera and still camera, This paper proposes a moving target detection method based on rough location of structure similarity and fine segmentation of background difference. First, the dynamic mode decomposition method is used to extract the color background image from the video sequence to provide the basis for coarse positioning. In a small range, the correlation method is used to match the feature points of the current frame image and the color background image detected by the SIFT operator, Estimate the offset degree of the current frame image by matching the offset of the point pair, in order to achieve the purpose of eliminating image jitter. Then use the structural similarity to coarsely locate the target area to reduce the interference of complex background; Then perform the AND operation on the color background image of the coarse positioning under each channel and the corrected background difference of the current frame image; Finally, the complete movement target is obtained through morphological processing. The method in this paper not only effectively improves the problem of camera shake, but also improves the detection rate in both cases of shaking camera and still camera. Compared with the three algorithms such as GMM, the recall rate, recall rate and accuracy rate are increased by at least 1.6%, 3.5% and 3%.
蒙晓宇,朱磊,张博,等. 基于结构相似性粗定位与背景差分细分割的运动目标检测方法[J]. 科学技术与工程, 2021, 21(36): 15563-15570.
Meng Xiaoyu, Zhu Lei, Zhang Bo, et al. Moving target detection method based on rough positioning of structure similarity and fine segmentation of background difference[J]. Science Technology and Engineering,2021,21(36):15563-15570.