Table of ContentsIntroductionConclusionUsual Traditional ApproachesSummary: Video surveillance is a hot topic of debate all over the world for its various applications in different important areas like security, traffic cameras, banks, museums, educational institutions and many others. fields. The main problem behind this “video surveillance” is the movement of objects. Moving object detection refers to the idea of ​​identifying the physical movement of an object in a given area. For moving object detection, the current image and the background image of a video sequence are taken into account. This article attempts to provide an overview of the current and past notable and mentionable work on moving object detection. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essayIntroductionVideo is an electronic medium for recording, copying, playing, broadcasting, and displaying moving visual media. Surveillance refers to the close observation of a person or object with the aim of influencing, managing, directing and protecting them. Video surveillance is a device that enables built-in image capture capabilities that allow video images or extracted information to be compressed, stored or transmitted over communications networks or a digital data link. A video is essentially a group of images where the image can be defined as one of many still images that combine into the total moving image. Moving object detection is the concept of differentiating stationary objects from moving or non-stationary objects with respect to a given region or area. Video analytics basically involves 3 steps, namely identification, tracking and analysis. And as we can see, this is not possible without moving object detection. Moving object detection has become a very serious topic for researchers, scientists and, in fact, everyone working in the field of video surveillance and analytics. The main reason is the application of moving object detection in various wide fields. We can mention some areas like video surveillance, airport security monitoring, law enforcement, video compression, automatic target identification, maritime surveillance, radar system, theft prevention, large stores and many other areas. There are many techniques used for moving object detection but a few like background subtraction, frame differencing, temporal differencing and optical flow can be specially mentioned due to their usage intensive as traditional methods. But each of these techniques has drawbacks associated with them. Although new techniques are invented and applied every day, it remains a difficult task due to dynamic background, lighting variations, misclassification of shadows as objects, camouflage issues and priming. There is a lot of research being done regarding these issues which this article attempts to shed light on. The remainder of this article is indexed as follows: Section II. Usual traditional approachesSection III. Recent ResearchConclusionUsual Traditional ApproachesThe figure below will attempt to classify and categorize the moving object detection approaches.A. Frame Differing Frame differencing, as the name suggests, detects a moving object by.