A Comprehensive Survey on Computer Vision Based Approaches for Moving Object Detection

摘要

Moving object detection has achieved a noticeable attention in many computer vision applications. The research community have contributed lot of works for dealing with major challenges of moving object detection in real-world scenarios. The paper presents a comprehensive review on different moving object detection techniques classified into four categories: Background Modeling Based techniques; Frame Difference Based techniques; Optical Flow Based techniques and Deep Learning Based techniques. Moreover, detailed descriptions of various methods in each of this category are also provided.