研究生: |
趙昭勝 Chao-Sheng Chao |
---|---|
論文名稱: |
結合異常音偵測之即時影像監控系統的實現 The Implementation of a Real-Time Image Surveillance System with Abnormal Sound Detection |
指導教授: |
蔡超人
Chau-Ren Tsai |
口試委員: |
蘇順豐
Shun-Feng Su 郭景明 Jing-Ming Guo 陳建中 Jiann-Jone Chen 王乃堅 Nai-Jian Wang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 145 |
中文關鍵詞: | 異常音偵測 、程式優化 、即時影像監控 、系統獨立運行 |
外文關鍵詞: | abnormal sound detecting, optimization program, real-time image surveillance, stand-alone |
相關次數: | 點閱:297 下載:3 |
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在傳統的監控系統中,皆是使用廣角鏡頭的場景攝影機進行全天候之監控影像存取,而這樣會使所抓取到目標物之影像較為模糊,而造成難以辨識目標物之身份,且全天候影像存取亦會使得硬碟資源浪費,因此在本系統中則加入PTZ攝影機來協助場景攝影機進行追蹤,並將所抓取到之目標物,進行Zoom in功能的影像放大,以擷取到較清晰之目標物影像,另外,在論文中提出以環境音訊來判斷目前之音訊是否為一異常音訊,進而判斷是否為一事件發生,才進行事件影像存取,以減少硬碟資源浪費。在本系統中使用德州儀器TMS320DM642 DSP之開發模組來發展Server端的監控系統,且此系統具有獨立運作之特性,而Client端則是以PC進行使用者介面的開發,而Server端之影像與事件狀態亦可透過網路傳輸至Client端,當Server端有異常音發生時,則Client端則會進行事件影像存取與警訊顯示,並在日後可進行調閱與瀏覽,如此建構出一套即時多目標物追蹤與異常音偵測之監控系統。
In traditional surveillance systems, which use a wide-angle lens with field camera and store image all day. It can’t grab target’s face clearly for identification and storing image all day, because of it will waste of hard-disk’s resources. In the system, using high-resolution PTZ camera to be in conjunction with field camera and can track targets. And abnormal sound detection, whether abnormal event happen or not and store event-image, it will save many hard-disk resources. This research will combine TI TMS320DM642 Evaluation Module to development surveillance system in Server-side, the system has stand-alone characteristic and developing the graphical user interface based on PC in Client-side, Server-side will transmit the alarm information and image to the Client-side automatically. When the abnormal events happen in Server-side and it will transmit the alarm information and store the event-image in time, if necessary it will able to browse the event-image. Thereby, the system develops a real-time multi-object tracking and abnormal sound detection system with online warning function.
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