Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/9281
DC FieldValueLanguage
dc.contributor吳崇賓zh_TW
dc.contributorChung-Bin Wuen_US
dc.contributor.author王心怡zh_TW
dc.contributor.authorWang, Hsin-Yien_US
dc.contributor.other電機工程學系所zh_TW
dc.date2012en_US
dc.date.accessioned2014-06-06T06:43:00Z-
dc.date.available2014-06-06T06:43:00Z-
dc.identifierU0005-0208201218012900en_US
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dc.identifier.urihttp://hdl.handle.net/11455/9281-
dc.description.abstract  本文提出了一種即時影像的移動物件偵測演算法,系統中包含背景擷取(Background Extraction)與移動物件分割(Object Segmentation)和背景更新(Background Update)。   在背景擷取階段,僅使用少數群組來分類背景像素值,故僅佔用少量的記憶體空間,並且能夠在連續輸入的影像中準確且快速地擷取背景影像。在物件分割階段,為了消除移動物件分割後所產生的雜訊與空洞,我們使用一些後處理的方法來偵測出雜訊並且消除它。其中,本文提出了一種簡化過後的區域填充(Region filling)演算法,它不需經由繁複的疊代計算即能有效的填補物件中的空洞,而每一張影像進行填補區域的計算時間是固定的,不因物件的數量多寡或大小而有所改變。最後,在背景更新階段,透過當前的背景影像與輸入影像進行加權計算以獲得新的背景影像,使得系統能夠適應各種天氣與晝夜的變化,減少因背景影像的不真實所造成的偵測錯誤。   最後,實驗結果顯示了本演算法能夠即時的在不同的環境中準確且有效的擷取背景與分割移動物件。zh_TW
dc.description.abstract  An efficient real-time background extraction and moving object detection algorithm is proposed, the system contains the background extraction, moving object segmentation and background update.   In background extraction stage, only use few group to classify the background pixel value, so it can extract the background pixel accurately and quickly from the input image sequence with less memory usage. With the algorithm accurately extracted the background, motion objects can be detected correctly and quickly. In object segmentation stage, to remove the noise and hollow produced after motion object detection, we use post-processing to detect and remove it. Moreover, this paper adopts a simplified region filling algorithm to fill the holes in object with fixed executing time per frame. Finally, the update phase in the background, weighted by the current background and input image to obtain a new background image, then, system able to adapt to the changes of all kinds of weather, day and night, to reduce detection errors caused by false background image.   Experimental results for various environmental to demonstrate the accuracy and effectiveness of the proposed algorithm.en_US
dc.description.tableofcontents目錄 .........................................i 圖目錄 .........................................iii 表目錄 .........................................v 第 一 章 緒論......................................1 1.1 研究動機...................................1 1.2 研究目的...................................2 1.3 論文組織...................................3 第 二 章 文獻探討...................................4 2.1 時態差異法(Temporal Difference Method).....5 2.2 背景相減法(Background Subtraction Method)..7 2.3 區域填充法理論背景..........................11 第 三 章 研究方法..................................13 3.1 系統架構..................................13 3.2 背景擷取(Background Extraction)...........14 3.2.1 移動物件與背景像素分析......................14 3.2.2 最佳靜態像素線段分析........................15 3.2.3 最佳靜態像素線段長度(SPL Length)與群組數分析...22 3.2.4 背景像素分類擷取法..........................25 3.3 物件分割(Object Segmentation).............30 3.3.1 背景與移動物件分割(Segmentation)............31 3.3.2 陰影消除(Shadow Remove) [37]..............32 3.3.3 空洞填補(Hollow Filling) [41].............34 3.3.4 物件空洞區域填充(Region filling)............35 3.3.5 雜訊消除(Noise Reduction) [41]............37 3.3.6 背景更新(Background Update) [37]..........38 第 四 章 實驗結果與討論.............................40 4.1 系統各步驟之實驗結果........................40 4.1.1 背景擷取(Background Extraction)...........40 4.1.2 物件分割(Object Segmentation).............44 4.1.3 陰影消除(Shadow Remove)...................45 4.1.4 空洞填補(Hollow Filling)..................47 4.1.5 區域填充(Region filling)..................49 4.1.6 雜訊消除(Noise Reduction).................50 4.2 不同環境下之移動物件偵測結果..................53 4.3 演算法執行時間分析..........................54 第 五 章 結論與未來工作.............................56 參考文獻 .........................................57zh_TW
dc.language.isozh_TWen_US
dc.publisher電機工程學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0208201218012900en_US
dc.subject監控系統zh_TW
dc.subjectMonitoring systemen_US
dc.subject背景擷取zh_TW
dc.subject移動物件分割zh_TW
dc.subject陰影消除zh_TW
dc.subject空洞填補zh_TW
dc.subject區域填充zh_TW
dc.subject雜訊消除zh_TW
dc.subject背景更新zh_TW
dc.subjectBackground Extractionen_US
dc.subjectObject Segmentationen_US
dc.subjectShadow Removeen_US
dc.subjectHollow Fillingen_US
dc.subjectRegion fillingen_US
dc.subjectNoise Reductionen_US
dc.subjectBackground Updateen_US
dc.title應用於即時監控系統之有效率背景擷取與物件分割演算法zh_TW
dc.titleAn Efficient Background Extraction and Object Segmentation Algorithm for Realtime Applicationsen_US
dc.typeThesis and Dissertationzh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1zh_TW-
item.grantfulltextnone-
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