本論文的主要動機為提出一簡單且具可靠性的方法，用來偵測道路上的車輛是否發生緊急危險事件，並且主動的提醒駕駛者預防車禍的發生。利用電腦視覺律動概念，在各個影像畫面中將所感興趣的區域藉由虛擬掃描線取得律動資料，藉此，此連續影像將被簡化成較簡單的畫面資料（只記錄虛擬掃描線上的律動資料），並被記錄成具時間性的車輛狀態。因此，經過每組律動的分析與統計，我們的系統提出三種潛在地危險事件偵測：車道變換（Changing Lane）、50公尺安全距離（50m Safe Distance）和行車速度的顯示（Speed Display）。我們所提出的機制可偵測並監控道路上的車輛狀態，不僅預防車禍的發生，亦可增加交通的安全性。最後，實驗結果亦顯示此機制針對車輛事件的偵測具有相當的可靠性。

The motivation of this paper is to propose a simple and reliable method to identify on-road vehicle events, particularly in the driving situations. A content rhythm is extracted by applying a virtual line lies on the same position of each frame. Thereupon a simplified representation of a continuous video is to record the temporal information of vehicle status. Thus, vehicle situations such as changing lane, safe distance and speed display can be detected instantly by analyzing the statistical characteristics of content rhythm. The proposed method can not only prevent accidents but also improve the traffic safety by monitoring the on-road vehicle status. Experimental results show the proposed method is reliable for vehicle event detection.

英文摘要 i
中文摘要 ii
目錄 iii
圖目錄 v
第一章 緒論 1
1.1智慧型運輸系統的發展 3
1.2智慧型運輸系統相關應用 4
1.3研究動機與目的 6
1.4論文架構 8
第二章 影像理論與文獻回顧 9
2.1電腦視覺技術的智慧運輸系統研究 10
2.2相關文獻探討 14
第三章 藉由電腦視覺律動分析車輛事件的偵測 17
3.1 視覺律動之概念 19
3.2車道線擷取 22
3.3 安全距離的偵測 27
3.4 行車速度的顯示 30
第四章 車輛偏移量之定義與分析 32
4.1 偵測車輛的偏移 42
4.2 車輛偏移資訊之應用 44
第五章 實驗結果 46
5.1 Directshow實驗平台 47
5.2 車輛事件偵測的實驗結果 49
5.3車輛偏移的實驗分析結果 54
第六章 結論與展望 57
參考文獻 59

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