| Summary: | 碩士 === 國立中央大學 === 資訊工程研究所 === 97 === Unlike the traditional surveillance systems which only consist of one or several capturing devices, in this thesis we incorporate the PTZ camera with the computer vision techniques. By doing so, the surveillance system can analyzes the moving objects automatically and provide real-time alerts if necessary.
In this thesis, we propose a particle filtering based method to identify and track illegal invaders in restricted area using a PTZ camera. The advantage of our method is that can track illegal entrants in wider space, unlike the detecting illegal entrants in restricted area over the past, which is limited to a fixed perspective, the scope of the restricted area is too small constraints, First of all, we employ a robust background subtraction method to detect the moving object. Then we use the watershed segmentation algorithm to extract the upper body of the moving object. Afterwards we compare the color features of the upper body with the template to determine the legality of the entrant. Once the illegal entrant is detected, the system will track the moving object using PTZ camera. Since no background information can be obtained after panning the camera, we employ the particle filtering technique to cope with this problem.
Experimental results show the feasibility and validity of the proposed method under several environments. The proposed method provides satisfactory results which prove that the system can be applied to some places such as post office or storage.
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