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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
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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.

    摘 要 I Abstract II 誌 謝 III 目 錄 IV 圖表索引 VII 第一章 緒論 1 1.1 研究目的與動機 1 1.2 研究方法與主要貢獻 2 1.3 論文架構 5 第二章 移動目標物追蹤與異常音偵測架構 6 2.1 雙攝影機多目標物協同追蹤 8 2.1.1 場景攝影機多目標物偵測程序 9 2.1.2 場景攝影機多目標物追蹤程序 16 2.1.3 座標校正與PTZ攝影機頭部追蹤程序 22 2.2 異常音偵測程序 30 2.3 影像壓縮與網路傳輸程序 32 2.4 硬體規格與配置 33 第三章 DM642程式撰寫之優化程序 38 3.1 DSP64x系列之編譯與程式撰寫之技巧 38 3.1.1 CCS編譯器之優化等級與相關敘述 39 3.1.2 DM642之最佳化程式設計 41 3.2 線性組合語言與C語言之特性分析 49 3.3 硬體I/O之優化處理 50 第四章 環境異常音偵測 54 4.1 音訊能量偵測 54 4.2 異常音訊號分析 56 4.3 異常音偵測與分析程序 61 第五章 影像壓縮與網路傳輸 62 5.1 JPEG壓縮原理介紹 62 5.2 網路傳輸之建立與流程 66 第六章 DM642系統Stand-Alone實現 69 6.1 針對512K bytes 以下之程式燒寫程序 70 6.2 針對512K bytes 以上之程式燒寫程序 82 第七章 系統實現與效能測試 101 7.1 系統架構實現 101 7.2 遠端監控介面使用介紹 116 7.3 系統效能測試 118 7.3.1 多目標物之雙攝影機協同追蹤 118 7.3.2 播放預錄事件音訊進行異常音偵測 120 7.3.3 即時監控環境之異常音偵測 124 7.3.4 事件影像瀏覽與歷史狀態顯示 126 第八章 結論 133 8.1 研究成果 133 8.2 未來發展 136 參考文獻 138 附錄A-雙攝影機規格 142 附錄B-型態學膨脹程式(Dilation) 144

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