Research on the Dynamic Object Segmentation Based on Computer Vision Technology

As a major research topic in the innovation of intelligent video surveillance technology, image segmentation based on moving objects is also a focus of researchers in the development of the big data era. In order to monitor objects of interest in the field of computer vision, it is necessary to label the regions of interest within the dynamic visual range, which is known as motion target segmentation. On the basis of understanding the current development trend of computer vision technology applications, this article studies the specific content of object segmentation from the perspectives of static images and dynamic videos, and verifies the background modeling algorithm based on sample local density anomaly detection in practice, and then analyzes the future development direction of the technology.