Motion Object Detection: Foundation for Video Tracking Technology with MATLAB Implementation
Motion object detection serves as the fundamental basis for subsequent tracking techniques in video processing. The quality of detection results directly determines whether moving targets can be successfully tracked and the accuracy of tracking performance. This process involves segmenting and extracting foreground, motion, and targets from sequential images acquired by machine vision systems. This paper describes primary methods for motion detection in computer vision, introduces principles and characteristics of typical background subtraction algorithms, details the four-step workflow of background differencing (preprocessing, background modeling, target detection, and post-processing), and implements background subtraction algorithms in MATLAB for video-based motion detection with additional image processing of detection results.