臺灣博碩士論文加值系統

本文提出了一種使用模板為基礎的物體輪廓偵測技術。首先，我們偵測到物件的邊界外的背景亮度變化。接著，利用網格的運動活性偵測取得時間分割的結果。透過OR的運算將時空分割結果和形狀模板合併成新的遮罩。最後，對於修改的遮罩的精準度，我們沿著遮罩邊緣對於不匹配點利用一個計數視窗中的邊界梯度值來修正外型模板的精準度。藉由計算均方誤差(MSE)來檢查對應的點，並利用迭代的方式計算出視訊中物件的輪廓。

This paper presents an object contour detection using the object shape model. First, we detect the change of background luminance ratio outside the bounding box of object. Second, the temporal segmentation is obtained by mesh based motion activity detection. A new combined mask is composed of temporal segmentation result and shape model by OR operation. Finally, for modification of the mask, we detect the non-matching points with local gradient along the boundary of combined mask in a counting window. And the MSE is calculated for the detection of the matching points. The video object contour will be obtained by the iterative algorithm.

中文摘要 i
英文摘要 ii
誌謝 iii
目錄 v
表目錄 vii
圖目錄 viii
一、緒論 1
1.1 前言 1
1.2研究動機 2
1.3研究架構 2
二、文獻探討 4
三、物件輪廓偵測 6
3.1模板偵測 6
3.2物件輪廓追蹤 11
步驟1 12
步驟2 12
四、模擬實驗 15
五、結論 21
參考文獻 22

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