Image Segmentation Based on Velocity Feature Vector for Moving Target Extraction

Image segmentation of moving target in complex background has a good application prospect. However, many factors cause the gray level and content of the image to change between adjacent two frames. Based on the research and analysis of various moving target segmentation algorithms, this paper proposes a new dynamic segmentation algorithm based on dynamic contours based on the principle of simple calculation, fast speed and accurate extraction of moving targets. Analysis and experiments prove that the algorithm needs to adjust less parameters and has strong anti-interference ability, which can effectively eliminate the occlusion of moving targets between multiple frames. Moreover, for complex backgrounds and non-overlapping multi-target motion situations, the outer contours of individual moving targets can be accurately located. In addition, the algorithm has a potential parallel mechanism and is easy to implement real-time moving image segmentation.