臺灣博碩士論文加值系統

本論文提出一整合式智慧型監控系統，使用高斯模型、型態濾波和連通元件標記法去偵測移動物件。在即時關鍵圖框選擇出最佳的移動物件影像後，系統將自動發送多媒體訊息(MMS)的告警和上網連結的簡訊通知(WAP Push)給使用者的行動電話裝置，並將含有移動物件的靜態圖框影像轉換成視訊串流媒體檔案加以儲存。如此，使用者能經由3G行動通訊網路透過視訊串流來監看已錄製完成的移動物件監控視訊。經由實驗結果顯示，系統可正確偵測出移動物件和採用物件式監控比全程式監控更能有效節省儲存容量。此讓使用者可即時觀看到移動物件的監控視訊。

This paper proposes an integrated intelligent surveillance system that uses Gaussian modeling, Morphology filters and Connected Component Labeling to detect moving objects. The system will automatically deliver Multimedia Messaging Service (MMS) alarms and WAP push notifications to user’s mobile phone, and then records and transcodes those frames of moving objects into video streaming file format after the real time key frame selection decided the most clearly frame of moving object. Users can monitor the recorded surveillance video streaming through 3G communication networks. Experimental results show that the system detects moving objects successfully, and the storage of object-based recording is more efficiently than full-time recording. It makes users monitor the surveillance video of moving objects in real time.

中文摘要 i
英文摘要 ii
誌 謝 iii
目 錄 iv
表 目 錄 v
圖 目 錄 vi
一、 前言 1
二、 智慧型監控系統 6
2.1 移動物件偵測 7
2.2 關鍵圖框影像選擇 14
2.3 視訊轉碼與串流 15
2.4 系統整合 17
三、 實驗 26
3.1 實驗環境 26
3.2 實驗方法 27
3.3 實驗結果 28
四、 結論 36
參考文獻 37

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