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研究生: 陳毓淞
Yu-sung Chen
論文名稱: 車輛前景移動物體影像的即時偵測系統之實現
The Implementation of a Real Time Image Detection System for the Foreground Moving Vehicle
指導教授: 蔡超人
Chau-Ren, Tsai
口試委員: 王文智
Wen-Jieh, Wang
蘇順豐
Shun-Feng, Su
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 109
中文關鍵詞: 影像處理移動物體偵測
外文關鍵詞: Image processing, Moving vehocle
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在電腦視覺的研究領域中,移動物體偵測與追蹤是非常重要的研究之一,現在這方面研究已經廣泛的應用在許多智慧型運輸系統實現上,目的在解決行駛於道路時可能碰到的各種問題,相對地駕駛人的行車安全也受到保障。本論文主要是針對車禍前碰撞預防的研究方面,其中作法先經由數位攝影機擷取連續影像,透過左右標線的偵測找到可能前景移動車輛的區域,在這範圍內進行前景移動車輛的偵測,接著透過幾何光學座標轉換,將車與車之間的相對距離估算出,作為車禍前碰撞預防準備的參考。本論文中利用單一擷取設備配置於車輛上做實測驗證,如此便能達成即時偵測的目標。


Motion detection and tracking has been an important research in the field of computer vision all the time. The achievements of these research are widely applied for a lot of implementation of ITS. It is purpose is to solve all kinds of problems happening in driving on the road, so driver’s safety would be protected. This thesis is the research for pre-crash restraint deployment. First, we pick up the run-on time images from digital camera. Then we could find the field of the foreground moving vehicle by detecting left and right lane. Next, we detect the foreground moving vehicle during this range. By transforming it with geometrical optics coordinate, we could estimate the relative distance from one car to another car, and we could take this as the reference of the prevention of the crash before a traffic accident. In this thesis, we use a single capture equipment set on the car to test and verify it, and we could reach the goal of detecting in real time.

中文摘要 I 英文摘要 II 誌 謝 III 目 錄 IV 圖表索引 VII 第一章 緒論 1 1.1 研究動機與目的 1 1.2 主要貢獻 2 1.3 論文架構 3 第二章 系統架構介紹 5 2.1 碰撞預防系統介紹 6 2.2 系統架構 8 2.3 前景特徵與道路資訊 11 2.4 硬體規格與功能 14 第三章 數位影像前置處理程序 15 3.1 影像彩色模型與灰階模型轉換 16 3.2 邊緣檢測 19 3.3 空間濾波 29 3.4 型態學 33 第四章 路面標線偵測 36 4.1路面標線研究現況 36 4.2直線偵測方法 38 4.3路面標線邊緣偵測 43 4.3.1標線邊緣偵測 44 4.3.2鄰近邊緣點的判斷 47 4.3.3搜尋區域的決定 53 4.4路面標線偵測系統架構 56 4.5路面標線效能評估 58 第五章 前景移動車輛偵測與距離估測 59 5.1前景移動車輛研究現況 59 5.2抽取邊緣成份 61 5.2.1車輛陰影的特性 62 5.2.2輪廓邊緣 66 5.3偵測車輛可能的位置 69 5.4光學校正與距離估測 71 5.4.1幾何光學與攝影機間的探討 71 5.4.2座標轉換 75 5.4.3 校正方法 78 第六章 系統整合與實驗結果分析 82 6.1系統整合與實現 82 6.2系統操作介面介紹 85 6.3硬體規格與配置 88 6.3.1數位CCD攝影機規格 90 6.3.2影像感測器架構 91 6.3.3系統架設與配置 93 6.4系統效能評估與實驗結果 96 第七章 結論 101 7.1研究成果 101 7.2發展方向 104 參考文獻 106

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