近年來因為犯罪問題的日益嚴重，使得各單位不得不重視保全機制，許多身份確認的防範的設施應運而生。在監控系統方面，傳統式的攝影機只能監視單一視角，就算在底部裝設了旋轉底座或是架設多台攝影機，也僅能監視到旋轉掃瞄的部分，不但增加了成本，更無法達到追蹤的功能。因此本論文利用了具有兩個旋轉方向的攝影機平台，改善了傳統監控攝影機的缺點。
本研究是使用動態的攝影機來做人臉的追蹤，在擷取到影像之後，先做顏色分割，將膚色從影像之中分離出來，接著利用數位影像處理的技術，找出人臉所在的區域；再以橢圓形臉部追蹤法，找出人臉正確的位置，並將此位置送到平台控制器，做為平台轉動的依據。此外，設定一個區域範圍，當橢圓（人臉）超出此範圍時，才會做有效的轉動，避免平台做不必要的轉動，並使人臉持續地保持在畫面的中心。

In recent years, since the criminal problems are getting much severer than ever, many organizations are forced to emphasize security system, thus, the alert installations for identity assurance have been in urgent need . On the monitoring and control system, traditional video cameras can only monitor a single vision. Even though a rotation base is installed at the bottom or more video cameras are working at the same time, we can merely monitor the area under scanning. The drawbacks of such system are high cost and low tracking performance. Hence, in this thesis, we use a base which can make 2-dimensional rotation such that the disadvantages of traditional monitor video camera can be improved.
In our study, we use dynamical video cameras to trace the human face. After an image is grasped, the first step is to make a segmentation of colors, and then to separate the skin tone from the image. Later on, we use the skill of digital image processing to find out the region where the human face locates. Then, we use the technique of the Elliptical Head Tracking to find out the exact position of the face, and send the information of this position to the platform for controlling the movement of the platform. Besides, a range is set up to confirm the position of the ellipsoid (human face). This prevents the platform from unnecessary rotating and also keeps the human face staying in the center on the screen.

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