Design of Networked Visual Monitoring Systems

Chin-Hwa  Kuo; Tay-Shen  Wang; Ping-Huang  Wu

doi:10.6180/jase.1999.2.3.05

Design of Networked Visual Monitoring Systems

Computer Science and Information Engineering

Chin-Hwa Kuo This email address is being protected from spambots. You need JavaScript enabled to view it.¹, Tay-Shen Wang¹ and Ping-Huang Wu¹

¹Department of Computer Science and Information Engineering Tamkang University, Tamsui, Taiwan ROC

Received: March 1, 1999
Accepted: December 30, 1999
Publication Date: December 30, 1999

Download Citation: ||https://doi.org/10.6180/jase.1999.2.3.05

ABSTRACT

We design and implement a networked visual monitoring system for surveillance. Instead of the usual periodical monitoring, the proposed system has an auto-tracking feature which captures the important characteristics of intruders. We integrate two schemes, namely, image segmentation and histogram comparison, to accomplish auto-tracking. The developed image segmentation scheme is able to separate moving objects from the background in real time. Next, the corresponding object centroid and boundary are computed. This information is used to guide the motion of tracking camera to track the intruders and then to take a series of shots, by following a predetermined pattern. We have also developed a multiple objects tracking scheme, based on object color histogram comparison, to overcome object occlusion and disocclusion issues. The designed system can track multiple intruders or follow any particular intruder automatically. To achieve efficient transmission and storage, the captured video is compressed in the H.263 format. Query based on time as well as events are provided. Users can access the system from web browsers to view the monitoring site or manipulate the tracking camera on the Internet. These features are of importance and value to surveillance.

Keywords: surveillance system, visual object segmentation, histogram comparison

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