Active people tracking by a PTZ camera in IP surveillance system

Abstract

In this paper, we propose a fuzzy feature-based method for online body tracking using an IP PTZ camera. Because the camera uses a built-in web server, camera control entails response time and network delays, and thus, the frame rate is irregular and generally low (3–7 fps). Our method has been designed specifically to perform in such conditions. It detects in every frame, candidate targets by extracting moving targets using optical flow, a sampling method, and appearance. The target is detected among samples using a fuzzy classifier. Results show that our system has a good target detection precision (≫ 93%), and low track fragmentation.