本研究的目的在於透過電腦的輔助改進目前港口對於貨櫃檢查的方式。現行港口的貨櫃檢驗方式為使用人力於貨櫃集散站交換各項單據，此方法不僅耗費人力，更有可能因為人為疏失造成貨櫃檢查上的錯誤。本研究提出設定ROI的方法，觀測連續影像ROI內前景的變化來判斷貨車是否進入攝影機的視野內。系統將拍取一連續的影像，從這一連續的影像中，藉由找尋貨櫃車上的特徵，並且利用這些特徵資訊，找出包含完整的貨櫃面的影像，提供給後端伺服器作為特徵比對之用途，改進目前貨櫃檢視的現狀。此方法證明對於白平衡的影響以及在室外的環境中都有不錯的效果。

The purpose of this study is to facilitate automatic checking without human operators when containers pass through the customs clearance station so as to speed up the container examination process. Nevertheless, it may waste time to process all images and usually, an infrared trigger system is employed to identify the timing for the passing of a container. In this study, instead of using extra equipment, such as infrared trigger, we propose to use the existing camera images to define the trigger timing and to send out the required image for further process. This paper proposes the method by setting the ROI on the button of image as gateway. Whether the container enters the view of camera can be decided by observing the variation in foreground pixels within ROI between frames. The system first captures a sequence of images. Then, these images are further confirmed whether the image contains the complete rear of container. The confirmed image will be send to server for image comparison. The proposed method is proven to be robust under AWB and in an outdoor environment.

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