Brief Analysis of Methods for Detecting Moving Objects Using Computer Vision

Abstract

In many computer vision applications, moving object detection has drawn notable interest. The scientific community has made numerous contributions to address the significant difficulties of moving object detection in practical settings. The research thoroughly analyzes several moving object recognition methods, which are divided into four groups: methods based on background modeling, Approaches rooted in frame differences, methods based on visual motion estimation, and methodologies based on deep learning. Additionally, thorough explanations of numerous techniques in each category are offered.