Object surveillance through real-time tracking

Abstract

In this paper, object surveillance through real-time tracking is examined where there is an analysis of the various techniques which help in the analysis of the methods that are employed in the modern society for the delivery of the right goals. The paper uses a method to help in the tracking and recognizing object in the surveillance area, focus on pixel approach which helps in arriving at the solution for the problem. The camera system is used as a sensor for the purposes of tracking the object used for the study in the surveillance area. Use of edge detection in the analysis, image segmentation process, background separation algorithm provides a clear knowledge of the foreground and the background. Finally, use of contourlet transform is used to extract features and for recognition of objects under surveillance area, pattern matching is also used for recognizing different objects in a video.