車輛之偵測與車型判定 陳柏鑫、曾逸鴻
E-mail: 321869@mail.dyu.edu.tw
摘 要
由於工商業活動的日益頻繁，和國民生活品質快速的成長，使得車輛數目大幅度的增加，所以不得不藉由視訊監控設備 和電腦視覺系統的管理，在車輛數目如此大量的增加之後，交通的監控勢必成為非常讓人注意的議題。目前利用以電腦與 監視攝影機為主的監視系統，只能為監測者做長時間的觀察動作，而無法判斷某路段在特定的時間內通過的車輛種類與數 量。因此為了使智慧型監控系統能更精確的進行車輛偵測，本研究針對移動車輛的車型判定作相關的研究。 在車型判定的 方法中，所以，我們在做車輛偵測時，先將要偵測的區域框選起來，再利用背景相減的方法，將前景物體擷取出來，能減 少之後作前景物體偵測的範圍，另外也能先過濾掉多餘的背景，加速偵測出前景車輛的位置，接著再依造車道寬與各型車 輛的寬度比例、周圍背景面積，並分別利用此兩種特性進行各型車輛的分群以判定車輛物體之類型，以得到更為準確的車 輛偵測效果。
關鍵詞 : 視訊監控、智慧型運輸系統、車輛偵測、車型判定 目錄
第一章 緒論．．．．．．．．．．．．．．．．．．1 第一節 研究背景與動機．．．．．．．．．．．1 第二節 研究目的．．．．．．．．．．．．．．4 第三節 系統流程．．．．．．．．．．．．．．5 第四節 研究範圍與限制．．．．．．．．．．．6 第五節 論文架構．．．．．．．．．．．．．．7 第二章 文獻探討．．．．．．．．．．．．．．．．8 第一節 智慧型運輸系統．．．．．．．．．．．8 第二 節 前景物體偵測．．．．．．．．．．．．9 第三節 移動物體比對及類型判定．．．．．．．11 第三章 車輛特徵之抽取與分群．．．．．．．．．．14 第一節 建立車輛特徵模型．．．．．．．．．．14 第二節 車輛特徵分群．．．．．．．．．．．．20 第四章 各型移動車輛之偵測與判定．．．．．．．．28 第一節 背景模型建立．．．．．．．．．．．．28 第二節 移動車輛偵測．．．．．．．．．．．．31 第三節 車輛類型比對．．．．．．．．．．．．34 第五章 實驗結果與分析．．．．．．．．．．．．．44 第一節 實驗結果．．．．．．．．．．．．．．44 第二節 錯誤分析．．．．．．．．．．．．．．49 第六章 結論．．．．．．．．．．．．．．．．．．52 參考文獻 ．．．．．．．．．．．．．．．．．．．．53
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