A Master-Slave Auto-trackig Visual Surveillance System
Date Issued
2009
Date
2009
Author(s)
Chiu, Tzu-Hsuan
Abstract
In this thesis, we proposed a master-slave auto-tracking surveillance system. This system is consisted of two cameras, one of them is wide angle fixed camera, and another one is speed dome camera. This system is able to monitor a wide area and gets high quality images of objects in the monitored scene for further analysis, such as face recognition and vehicle plate recognition. Besides, the speed dome of this system is capable of automatically tracking objects in the monitored scene. In order to achieve the functions mentioned above, we have to satisfy the following demands. First, the speed dome camera must be able to turn to any place in the image of wide angle fixed camera. Second, tracking objects in the image sequences of wide angle fixed camera, and then controls the speed dome camera to track them. The main contributions of this work are that we make the calibration process for the first demand almost automatic, and we consider the turning time of speed dome camera when tracking objects. The error of this system in the first demand is between 3 to 45 pixels depending on how the wide angle fixed camera and speed dome camera are placed (concentric or non-concentric) and the zoom factor. The error of this system in the second demand is between 30 to 75 pixels, and it is depending on zoom factor of speed dome camera, and the velocity of the tracked objects. In this paper, we have also compared the error between human manually tracking and system auto-tracking. The conclusion is that system auto-tracking is much better.
Subjects
surveillance
master-slave
camera control
Type
thesis
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