臺灣博碩士論文加值系統

　　隨著視訊設備的普及，視訊內容分析與處理的工作也變得愈來愈普遍。背景估測方法可由連續畫面中估測出背景畫面供後續視訊內容分析與處理過程使用。好的背景畫面可提高視訊內容分析與處理的正確率。為了提高背景畫面估測的正確性。本論文提出一個新的視訊背景估測方法，所提方法可儲存多層背景畫面，當畫面中的背景物件移動時，所顯露出來的背景區域可使用多層背景畫面中的內容來更新，加快背景畫面回復速度及提昇估測得之背景畫面的可用性。實驗結果顯示，當背景畫面內容改變後，所提方法比其它背景估測方法可更快速回復背景。使用所產生的背景畫面進行視訊物件分割，可明顯降低物件分割的錯誤率。

　　This thesis presents a novel background estimation approach for video stream. The proposed method stores multiple layers of background. In the case that a background object is moved, the disclosed region can be restored using the contents from these layers of background to speed up the background recovery process and to increase the usability of estimated background frame. Experimental results reveal that the proposed method is more rapid than available background estimation methods on background recovery when the background is changed. Applying the estimated background frames to video object segmentation, the error rate of segmented objects is significantly reduced.

書名頁....................................... I
論文口試合格證明.............................IV
誌謝.........................................V
中文摘要.....................................VI
英文摘要.....................................VII
目錄.........................................VIII
表目錄.......................................IX
圖目錄.......................................X
　
第一章　緒論...................................1
　第一節　研究背景.............................1
　第二節　研究動機.............................2
　第三節　研究目的.............................3
　第四節　論文架構.............................4
　
第二章　文獻探討...............................5
　第一節　背景抑制方法.........................5
　第二節　CHIEN背景註冊方法....................6
　第三節　SPAGNOLO背景更新方法.................13
　第四節　COLOMBARI背景估測方法................14
　
第三章　多層式背景估測方法.....................16
　
第四章　實驗結果...............................22
　第一節　實驗環境.............................22
　第二節　門檻值設定...........................23
　第三節　錯誤率分析...........................24
　第四節　背景層數對錯誤率與時間的影響.........25
　第五節 實驗結果比較........................26
　
第五章　結論與未來研究.......................37
　
參考文獻.....................................39

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