A study on video surveillance system for object detection and tracking
Pawan Kumar Mishra, Gyanendra Pal Saroha · International Conference on Computing for Sustainable Global Development · 2016
Visual surveillance System is basically used for analysis and explanation of object behaviors. It consists of static and moving object detection, video tracking to understand the events that occur in scene. The most important objective of this survey paper is to determine the various methods in static and moving object detection as well as tracking of moving objects. Any video scene contains objects that can be determined by object detection technique. There are various classes of detected object such as tree, clouds, person and other moving objects. Detection for moving object is a very challenging for any video surveillance system. Object Tracking is used to find the area where objects are available and shape of objects in each frame in higher level application. In this paper, we used different methods such as background subtraction, statistical method, and temporal frame differencing for the detection of moving objects. We also described different tracking methods like Point tracking, Silhouette Tracking and Kernel tracking in our survey paper.