A Review on the Identification and Classification of Activities for the Purpose of Tracking Objects in Video Surveillance

Abstract

An increasing number of academics are becoming interested in the field of image processing since object tracking in video surveillance is a significant application and a growing subject of research in the field of technique known as video tracking is one that involves the utilization of a camera in order to find a moving object or many moving things throughout the course of time. As a result of its key qualities, video surveillance serves a variety of functions, including but not limited to human-computer interactions, security and surveillance, video communication, traffic management, and public areas such as airports, underground stations, and large-scale events, amongst others. Keeping track of a target in a congested area is still a difficult video surveillance task. The processing framework for video surveillance is completed by a sequential flow that includes the detection of moving objects, their classification, tracking, and behavior identification. This study examines tracking techniques, classifies them into many categories, and concentrates on significant and practical tracking techniques. This paper discusses several tracking systems, including active contour-based, area-based, and others, along with their advantages and disadvantages. Various tracking techniques are discussed along with thorough descriptions. Finally, researchers present an overview of potential research areas after reviewing general tactics and a scan of the literature on various methodologies.