具物體追蹤與影像重點擷取之人臉監控系統研究

A HUMAN-FACE SURVEILLANCE WITH CLOSE-UP PICTURES CAPTURING

楊山河(Shan-Ho Yang)

指導教授 ： 李建誠

元智大學/電機通訊學院/通訊工程學系/碩士(2007年)

摘要

本論文研製之目的在於提出一種利用具有可控制攝影機的監控系統來擷取人的臉部特寫。在現今已知的監控系統中，大部份都是拍攝固定區域，而且只單純追蹤影像中人物的軌跡或者是抓取影像中的人臉；但是當人物距離攝影機較遠的時候，就無法獲得更仔細的資訊。本實驗利用離散小波轉換來去除雜訊及增進計算效能，並以背景相減及邏輯AND運算的方式來取得移動區域，接著使用膚色偵測來過濾出人體區域。藉由人體區域可以計算出移動向量，然後再根據移動向量的方向來預測人物下一步會到達的位置，並且依據移動向量的大小來設定攝影機的旋轉速度，以達到控制攝影機來拍攝臉部特寫的目的。

關鍵字

監控系統

並列摘要

A procedure is proposed to use a controllable video camera to obtain the close-up of the human face. The surveillance systems developed in the last years focused on a fixed area. Most of the systems tracked the trajectories of the people and the others only captured the small-scale picture of the human body because the people were far away from the video camera. The discrete wavelet transform is used to reduce the effect of the noises of the video camera and improve the computational efficiency. Then the moving regions are detected by the background subtraction and the logic AND operation. Hence the human body regions are derived from the moving regions by detecting the skin color, and those are used to calculate the motion vectors. Then the direction of the motion vector is used to control the direction of the panning and the tilting directions of the video camera and its norm is adopted to set the speed parameters of the panning and the tilting of the video camera.

並列關鍵字

surveillance system

參考文獻

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