近年來由於安全監控的議題越來越被重視，除了公共場所外甚至在私人的住宅中，都有裝設監視攝影機來進行安全監控，在加上影像處理技術的精進，安全監控系統的應用已是相當的常見。本論文使用德州儀器(Texas Instrument)TMS320DM642 DSP為開發模組，並搭配雙攝影機來組成智慧型公共安全監控系統，在雙攝影機中場景攝影機做為偵測事件發生來使用，而PTZ攝影機做為追蹤事件關係人與擷取人臉影像來使用，系統利用多層式碼本模型前景萃取法來萃取出前景區塊，之後再針對各個區塊進行行人與物件分類，進而偵測出此事件為遺留物事件或遺失物事件，透過PTZ攝影機來擷取事件關係人的臉部影像，並將人臉影像傳送至使用者介面進行人臉辨識的功能，使用者也可透過使用者介面察看雙攝影機所拍攝的畫面，如此即實現使用多層式碼本模型之智慧型公共安全監控系統應用。

It is no doubt that people put much more emphasis on issues of security surveillance in recent years. Private houses set up cameras for security surveillance except for public places. Also, with the advances of image processing technology, security surveillance applications have become quite common on a daily basis. In this thesis, the researcher develops a security surveillance system based on following devices: TMS320DM642 evaluation module and dual-camera module. In dual-camera, the field camera is used for detecting occurrence of events, while the PTZ camera is used for tracking the owner of the events and capturing facial images. The researched system extracts foregrounds by multi-layer codebook model method which every pedestrian and object can be classified in the foreground, and then the researched system further detects events and classifies them as abandoned events or stolen events. The PTZ camera captures owners’ facial information in the event, and then the researched system delivers the facial images to user interface, executing the face recognition function. Then, the surveillance is able to monitor screens captured by dual-camera via the user interface. Hence, by this design, the author achieves building the public security surveillance system using multi-layer codebook model application.

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