請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20795完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 傅楸善(Chiou-Shann Fuh) | |
| dc.contributor.author | Yu-Ming Yeh | en |
| dc.contributor.author | 葉祐銘 | zh_TW |
| dc.date.accessioned | 2021-06-08T03:03:57Z | - |
| dc.date.copyright | 2017-07-20 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-07-12 | |
| dc.identifier.citation | [1] CodeProject, “Motion Detection Algorithms,” https://www.codeproject.com/Articles/10248/Motion-Detection-Algorithms, 2017.
[2] MSDN, “License-Plate-Recognition,” https://channel9.msdn.com/coding4fun/blog/License-Plate-Recognition, 2017. [3] N. Singla, “Motion Detection Based on Frame Difference Method,” http://www.ripublication.com/irph/ijict_spl/ijictv4n15spl_10.pdf, 2017. [4] OpenCV, “Background Subtraction,” https://en.wikipedia.org/wiki/Background_subtraction, 2017. [5] OpenCV, “Blob Detection Using OpenCV,” https://www.learnopencv.com/blob-detection-using-opencv-python-c/, 2017. [6] OpenCV, “Simple Blob Detector,” http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html, 2017. [7] Wikipedia, “Automatic Number Plate Recognition,” https://en.wikipedia.org/wiki/Automatic_number_plate_recognition, 2017. [8] Wikipedia, “Match Moving,” https://en.wikipedia.org/wiki/Match_moving, 2017. [9] Wikipedia, “Motion Detection,” https://en.wikipedia.org/wiki/Motion_detection, 2017. [10] Wikipedia, “OpenCV,” https://en.wikipedia.org/wiki/OpenCV, 2017. [11] Wikipedia, “Video Tracking,” https://en.wikipedia.org/wiki/Video_tracking, 2017. [12] Z. Yu and Y. P. Chen, “A Real-Time Motion Detection Algorithm for Traffic Monitoring Systems Based on Consecutive Temporal Difference,” http://ieeexplore.ieee.org/document/5276099, 2017. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20795 | - |
| dc.description.abstract | 本論文提出一個跨攝影機車輛追蹤的方法，尋找車輛在不同攝影機間移動並予以標示。在本論文中，每個攝影機皆先經過校正時戳並相互有一小部分畫面區域重疊，其次對於每個攝影機的輸入影像都先使用背景相減法做處理，然後把得到的前景圖填入OpenCV Library裡的cvBlob類別作運算，可得畫面各移動車輛位置。最後再根據各道路方向計算欲鎖定車輛之移動軌跡並標示，並輔以車牌辨識資訊和絕對時戳資訊來推算其是否進入下一個攝影機的監控範圍，即可繼續計算其移動軌跡。 | zh_TW |
| dc.description.abstract | A method of vehicle tracking across different cameras is proposed in this thesis. We search the vehicles across the cameras and track them. In this thesis, each camera is supposed to synchronize its timestamp with the same time server, and covers a part of overlap area with each other. Second, we input the image to the background subtraction algorithm. Finally, we use the license plate recognition and timestamp information to derive the vehicle trajectory across different road intersections. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T03:03:57Z (GMT). No. of bitstreams: 1 ntu-106-P03922005-1.pdf: 72426072 bytes, checksum: 7b608684ccc6b9508d24d357f69324dd (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | 誌謝 i
口試委員會審定書 ii 中文摘要 iii ABSTRACT iv CONTENTS v LIST OF FIGURES vii LIST OF TABLES xvii Chapter 1 Introduction 1 1.1 OpenCV Library 1 1.2 Background Subtraction 4 1.3 Thesis Organization 5 Chapter 2 Related Works 6 2.1 Motion Detection 6 2.1.1 Frame Difference Method 7 2.2 License Plate Recognition 7 2.3 Object Tracking 10 2.3.1 Target Representation and Localization 11 2.3.2 Filtering and Data Association 12 2.3.3 Match Moving 13 Chapter 3 Background 15 3.1 OpenCV Library 15 3.2 Background Subtraction 16 3.2.1 Using Frame Differencing 17 3.2.2 Mean Filter 18 3.2.3 Running Gaussian Average 19 3.2.4 Background Mixture Models 21 Chapter 4 Methodology 23 4.1 Overview 23 4.2 Implementation 23 4.2.1 Vehicle Tracking Program Structure 24 4.2.2 Vehicle Tracking Using LPR Data 28 4.2.3 Vehicle Tracking via Object Shape Analysis 29 Chapter 5 Experimental Result 31 Chapter 6 Conclusion and Future Work 125 References 126 | |
| dc.language.iso | en | |
| dc.subject | 移動軌跡 | zh_TW |
| dc.subject | 車輛追蹤 | zh_TW |
| dc.subject | 跨攝影機 | zh_TW |
| dc.subject | motion trajectory | en |
| dc.subject | across cameras | en |
| dc.subject | vehicle tracking | en |
| dc.title | 跨攝影機的車輛追蹤 | zh_TW |
| dc.title | Vehicle Tracking across Different Cameras | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鄭宇哲,吳中皓 | |
| dc.subject.keyword | 車輛追蹤,移動軌跡,跨攝影機, | zh_TW |
| dc.subject.keyword | vehicle tracking,motion trajectory,across cameras, | en |
| dc.relation.page | 127 | |
| dc.identifier.doi | 10.6342/NTU201700988 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2017-07-13 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-106-1.pdf 未授權公開取用 | 70.73 MB | Adobe PDF |
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