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    請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/21527


    題名: 基於多觀測點與三維視訊處理之交通事件分析
    作者: 蔡昌隆
    貢獻者: 資工系
    關鍵詞: 智慧型交通系統
    交通視訊
    視訊處理
    影像處理
    圖形識別
    日期: 2011~2012
    上傳時間: 2012-02-24 13:56:30 (UTC+8)
    摘要: 減少交通事件,防止交通意外乃各國政府重要職責之一。茲因大多數的重交通瓶頸多發生於首都之主要交通路口地區、公路或高速公路等,因此,許多的交通監控系統或早期預警系統亦安裝於此等重要路口;惟仍有大量交通事件發生。有關交通狀況,目前各國政府均無法精確地提供一個非常有效的系統,以大幅減少甚至停止交通事件或事故的發生。為正確找出交通意外的根本原因,完整重建交通事件的發生過程和正確理解其關鍵因素,本計畫預期建置基於多視頻處理與三維視頻呈現之交通管理、交通監控和事件分析機制。於此研究計畫中,將開發三個模組分別為資料收集,多視點交通模型與 3D 視頻處理,以及專家系統。經部署多個視頻於每個路口以監控及記錄四個方向之交通資訊。所收集之全部資訊傳送到多視點交通模型與3D 視頻進行諸如車輛、路線與時間等因素處理。最後提交專家模組整合交通資訊和分析事件以提供決策應用預警或執行裁決。本計畫第一年之目標為建立行進中車輛之3D 視圖;第二年之目標為斜照扭曲影像之糾正處理與夜間交通資訊之3D 呈現;第三年之目標為強化Motion Vector 實時計算並完成嵌入式系統之實現,以利系統產品化。
    As the technique emerging, the necessity of establishing an intelligent life has become very popular and strongly advocated. Thus, the physical construction of ITS (intelligent traffic system) through traffic monitoring and management has become a significant issue in most of the countries. The goal is to decrease the occurrence of traffic incidents. Therefore high resolution video cameras have been mounted on all of the freeways, heavy traffic highways, tunnels and important traffic intersections of the main cities to monitor and detect the traffic condition. In addition, the related information can be supplied as the evidence for traffic enforcement. In the past few years, the fact is most of the traffic conditions are difficult to predict. But, as the scientific techniques emerging, traffic flow management becomes easier than before. In addition, some mobiles have mounted with high resolution camera to provide early warning and avoid accidents. The infrastructure for monitoring and managing the traffic at freeway, heavy traffic highway, main traffic intersection or tunnels has obviously improved and gradually accomplished in most of the critical cities worldwide. However, as regarding the early warning systems or traffic restoration system, the development of related applications and products is still a must. Although there are a lot of different types of VIVDS developed, single installed camera mounted on the poles of roadside or traffic light is not sufficiently to capture the entire intersection and provide the needed whole completely traffic information. Some evidences shown that even the popular advanced Traficon systems might have problem of false positive and false negative signals at the intersections due to the reason of weather and lighting conditions. In order to understand the root cause of traffic accidents and restore the occurrence of traffic events, a traffic monitor and event analysis mechanism based on multi-viewpoint and 3D video processing techniques is developed at the first year in this research project. In the following second year, traffic information that captured at night will be presented in 3D. Finally, real-time performance of motion vector will be improved and an embedded system will be implemented at the last year.
    顯示於類別:[資訊工程學系] 研究計畫

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