Recent Advances in Computer Vision: Applications in Object Recognition and Deep Learning

Abstract

The detection of moving objects has become of great interest in numerous computer vision tasks. The research community has extended significant efforts in tackling the problems of detecting moving objects in real-world condition. This paper provides an extensive review of different techniques for moving object detection, which are categorized into four main groups: There are four categories of techniques that have been used in this work: Background Modeling-Based techniques, Frame Difference-Based techniques, Optical Flow-Based techniques, and Deep Learning-Based techniques. Furthermore, the paper provides the specific techniques for each of these categories.