| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系所 === 93 === Due to the fact that existing surveillance systems usually employ fixed or automatic patrolled cameras, they cannot effectively track invaders in real-time. Therefore, an automatic head tracking system in indoor cluttered environment is proposed. This system consists of two parts, automatic head tracking system and remote monitoring and control system. In the automatic head tracking system, the position of human head on image plane can be determined based on head tracking strategy. According to the position and size of human head on image plane, a suitable fuzzy rule is designed to maintain the position of human head near image center with appropriate size by controlling the active camera via pan, tilt, and zoom. Specifically, the position of the moving object on image plane can be determined based on moving object detection method. Then a sizable tracking window to track human head will be used to reduce redundant computation. Moreover, color recognition, template matching, and head contour tracking methods will be integrated for tracking human head robustly. In order to achieve better performance, Kalman filter is employed to predict the position of human head on image plane. In the remote monitoring and control system, client user can observe system operation via real-time images transmitted from the server, and manipulate the pan, tilt, and zoom motion of the camera directly. Furthermore, invader''s video will be recorded with in and out time, and video images will be sent to system administrator via electronic mail.
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