Online body tracking by a PTZ camera in IP surveillance system

Abstract

In this paper, an online human body tracking method by an IP PTZ camera based on fuzzy-feature scoringe is proposed. Because the surveillance system uses a built-in web server, the camera control entails camera response time and network delays. Thus, the frame rate is irregular and in general low (3–7 fps). Our method has been designed specifically to perform in such conditions. At every frame, candidate targets are detected by extracting moving target using optical flow, a sampling, and appearance. The target is determined among samples using a fuzzy classifier. Results show that our system has a good target detection precision (≫ 88%), and the target is almost always localized within ¼th of the image diagonal from the image center.