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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87937

    Title: 基於影像擷取之車位狀態偵測
    Other Titles: Parking space status detection based on image capture
    Authors: 盧孝宏;Lu, Hsiao-Hong
    Contributors: 淡江大學資訊工程學系碩士班
    Keywords: 車位狀態偵測;色彩統計;角點偵測;Parking space detection;Statistics of color;Corner detection
    Date: 2012
    Issue Date: 2013-04-13 11:53:08 (UTC+8)
    Abstract: 現今停車場的管理越來越受重視,能夠快速的導引駕駛到停車位上一直是最重要的課題,以至於停車格的狀態偵測是停車場監控管理系統最重視的技術之一,雖然已經有做法是直接在每個車位上安裝一個感測器來監控,但是這樣的方法不但耗費成本且維護費工。本篇論文提出利用停車場既有的監視器來擷取照片並且分析停車格的演算法,這樣的做法不僅可以大幅減少安裝的困難度,成本上來說也是非常節省的。
    One important issue in parking lot management is to guide incoming cars to available parking space promptly. Therefore empty parking space detection is critical in producing efficient parking lot management system. This paper uses existing parking monitor to capture photos and analyzes the parking space, such an economic approach can significantly reduce the installation difficulty.
    The approach proposed in this thesis is based on image processing technology, color statistics, and corner detection to determine the parking space of the status of the individual, using the data of these two methods to do as the basis and a poll to determine the judgment results.
    We simulate our method in the parking lot. The simulation scenes contains variety situation of vehicles and without vehicles. Using this method can simulate several situations in a parking lot. The simulation results show the accuracy of our parking state detection method up to 97%.
    Appears in Collections:[資訊工程學系暨研究所] 學位論文

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