博碩士論文 107226042 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:15 、訪客IP:35.172.233.2
姓名 高偉哲(Wei-Jeh Kao)  查詢紙本館藏   畢業系所 光電科學與工程學系
論文名稱 自動化高空間動態範圍監控系統
(Auto Surveillance System with High Spatial Dynamic Range)
相關論文
★ 奈米電漿子感測技術於生物分子之功能分析★ 表面結構擴散片之設計、製作與應用
★ CCD 量測儀器之研究與探討★ 鈦酸鋇晶體非均向性自繞射之研究及其在光資訊處理之應用
★ 多光束繞射光學元件應用在DVD光學讀取頭之設計★ 高位移敏感度之全像多工光學儲存之研究
★ 利用亂相編碼與體積全像之全光學式光纖感測系統★ 體積光柵應用於微物3D掃描之研究
★ 具有偏極及光強分佈之孔徑的繞射極限的研究★ 三維亂相編碼之體積全像及其應用
★ 透鏡像差的量測與MTF的驗證★ 二位元隨機編碼之全像光學鎖之研究
★ 亂相編碼於體積全像之全光學分佈式光纖感測系統之研究★ 自發式相位共軛鏡之相位穩定與應用於自由空間光通訊之研究
★ 體積全像空間濾波器應用於物體 三度空間微米級位移之量測★ 發光二極體導光機構之研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2024-7-1以後開放)
摘要(中) 在本論文中,我們利用分光鏡結合廣角相機和望遠相機,製作出一個高空間動態範圍監控系統,相較於以往傳統監控系統數位放大影像的方式,此系統不僅能透過廣角相機達到大範圍的監測,也能根據使用者的需求,透過望遠相機和分光鏡的系統,以光學放大影像的方式,自動取得各區域高解析度的影像。
為了達成此監視系統,本論文透過已知廣角端像素位置和視角,計算分光鏡旋轉角度,並透過計算分光鏡旋轉角度與分光鏡成像,來完成望遠相機影像的校正,最後實際結合人臉辨識系統和自動化程式,達成自動化的高空間動態範圍監控系統。
摘要(英) In this thesis, we combine beam splitter with wide-angle and telephoto camera to design an auto surveillance system with high spatial dynamic range. This system not only can have wide view but also due to the combination of beam splitter and telephoto camera, we can get a high resolution image of what we’re interested at the same time. Different from traditional surveillance system using digital zoom to get the details of the image, this system automatically obtains higher quality image without losing any resolution by optical zoom technique.
We calculate the rotation angle of beam splitter with wide-angle image’s pixel position and field of view first, then use the rotation angle to adjust the image we get from telephoto camera, and last, we combine face detection and automatic control program to this system to accomplish this auto surveillance system with high spatial dynamic range.
關鍵字(中) ★ 監控系統
★ 光學變焦
關鍵字(英)
論文目次 目錄
摘要 II
Abstract III
致謝 IV
目錄 VI
圖目錄 IX
表目錄 XIII
第一章 緒論 1
1-1 研究背景 1
1-2 監控系統發展進程 4
1-2-1 磁帶錄影式類比閉路電視 (VCR-based Analog CCTV Systems) 5
1-2-2以網路攝影機為基底之網路攝影系統(Network Camera-Based Network Video Systems) 6
1-2-3 人工智慧監控系統 (Artificial Intelligence Surveillance System) 8
1-3 研究動機 10
1-4 論文架構 11
第二章 基礎原理 12
2-1 反射定律 12
2-2 影像旋轉 13
2-3 數位變焦 (Digital Zoom) 18
2-4 光學變焦 (Optical Zoom) 18
2-5 相機視角 (Field of View, FOV) 20
2-6 空間帶寬乘積 (Space-bandwidth Product) 23
第三章 高動態範圍監控系統 27
3-1 系統架構說明 27
3-2 望遠端相機位置、分光鏡大小與廣角端視角之關係 28
3-3 分光鏡角度定義 30
3-4 影像方位和分光鏡旋轉角度運算 34
3-5 影像旋轉 37
3-6 總結 38
第四章 自動化高動態範圍監控系統實驗 39
4-1 自動化高動態範圍監控系統實驗架設 39
4-2 人臉偵測 42
4-3 自動化與分光鏡旋轉 45
4-4 影像旋轉之修正與影像結合 47
4-5 光學放大率 53
4-6 架構縮小化 54
4-7 總結 59
第五章 結論 60
參考文獻 62
中英文名詞對照表 66
參考文獻 1. HOLY BIBLE: King James Version (Collins, 2011).
2. J. S. Konstantinovsky, Evagrius Ponticus: The Making of a Gnostic (Ashate, 2009).
3. R. E. Sinkewicz, Evagrius of Pontus: The Greek Ascetic Corpus (Oxford, 2006).
4. C. Beccaria, On Crimes and Punishment (CreateSpace, 2009).
5. W. Koehrsen, Has Global Violence Declined? A Look at the Data, https://towards datascience.com/has-global-violence-declined-a-look-at-the-data-5af708f47fba (Towards Data Science, 2019).
6. R. Pinningtom, World on the Brink: Global Conflict Map Shows where Tensions are at Breaking Point, https://www.express.co.uk/news/world/879652/world-war-3-conflict-m ap-safe-travel (Express, 2017).
7. Y. Alexander, and M. S. Swetnam, Usama Bin Laden′s Al-Qaida: Profile of A Terrorist Network (Transnational Publishers Ardsley, NY, 2001).
8. B. Lia, Architect of Global Jihad: The Life of Al-Qaida Strategist Abu Mus′ Ab Al-Suri (Columbia University Press, 2008).
9. M. Morgan, The Impact of 9/11 on Religion and Philosophy: The Day that       Changed Everything? (Springer, 2009).
10. J.Mueller, Terrorism Since 9/11: The American Cases (The Educational Publisher, 2015).
11. G. LaFree and L. Dugan, Introducing the Global Terrorism Database (Terror.Polit.Violence 19, 181-204 ,2007).
12. T. Lister, R. Sanchez, M. Bixler, S. O′Key, M. Hogenmiller, and M. Tawfeeq, ISIS Goes Global: 143 Attacks in 29 Countries have Killed 2,043, https://edition.cnn.com/2015/ 12/17/world/mapping-isis-attacks-around-the-world/index.html (CNN, 2018).
13. Z. Cohen and R. Browne, ISIS terrorizes Europe but loses ground at home (CNN,2016) https://edition.cnn.com/2016/03/28/politics/isis-losses-iraq-syria-brussels/index.html.
14. Philip Bump, America’s Under Recognized Ally in the Fight against Terrorism: Geography,https://www.washingtonpost.com/news/politics/wp/2017/09/15/americas-und errecognized-ally-in-the-fight-against-terrorism-geography/?utm_term=.d52c6c2d9800 (
The Washington Post,2017).
15. Marco Hafner, Terrorism Cost the EU €180 Billion Between 2004 and 2016, https:// www.rand.org/news/press/2018/06/06.html (Rand,2018)
16. N. Haering, P. L. Venetianer, A. Lipton, “The Evolution of Video Surveillance: an Overview,” Machine Vision and Applications Volume 19, Issue 5–6, pp 279–290 (October 2008).
17. Avigilon Corporation, Fourth Quarter & Year End Fiscal 2016 Financial Report For the years ended December 31, 2016 and 2015, https://s1.q4cdn.com/094373169/files/ doc_financials/2016/AVO-Q4YE-FY2016- Financial-Report.pdf.
18. K. Ball and F. Webster, The Intensification of Surveillance: Crime, Terrorism and
Warfare in The Information Era (Pluto Press, 2003).
19. J. M. Turner, P. L. Kenkel, R. B. Holcomb, and D. B. Arnall, Economic Potential of
Unmanned Aircraft in Agricultural and Rural Electric Cooperatives (Southern
Agricultural Economics Association Annual Meeting, 2016).
20. N. Desk, Airborne surveillance market expected to grow at 4.7%: Report, https:// www.geospatialworld.net/news/airborne-surveillance-market-expected-grow-4-7-report / (Geospatial World, 2017).
21. C. Snow, FAA May be Off Target With Forecast for Threefold Growth in Commercial Drones, https://www.forbes.com/sites/colinsnow/2019/05/14/the-faa-outlook-for-comm ercial-drones-the-good-the-bad-and-the-ugly/#710a759c3b50 (Forbes, 2019).
22. Interact Analysis, Commercial drones in 2022 – our predictions, Https://www.inte
ractanalysis.com/drones-market-2022-predictions/.
23. F. Castellano, Commercial Drones Are Revolutionizing Business Operations (Finance, 2018) https://www.toptal.com/finance/market-research-analysts/drone-market.
24. J. Karpowicz, 2019 Predictions for the Commercial Drone Industry with Josh Olds (Commercial UAV News,2018) https://www.expouav.com/news/latest/2019-predictions-commercial-drone-industry-josh-olds/.
25. F. Nilsson, Intelligent Network Video: Understanding Modern Video Surveillance
Systems (CRC Press, 2008).
26. S. Khillar, Difference Between IP Camera and CCTV (Difference Between,2019) http://www.differencebetween.net/technology/difference-between-ip-camera-and-cctv/.
27. J. Malmenbrat, D. J. Brooks, CCTV surveillance: The Differing Aims and Functions of CCTV within the Corporate Stratum (Edith Cowan University, 2015) https://www.researchgate.net/publication/301283204_CCTV_Surveillance_The_Differing_Aims_and_Functions_of_CCTV_within_the_Corporate_Stratum
28. Alarm New England, The Pros and Cons of Security Cameras, https://www.alarmnewengland.com/blog/pros-and-cons-of-security-cameras.
29. S. Feldstein, How artificial intelligence systems could threaten democracy (The Conversation, 2019) https://theconversation.com/how-artificial-intelligence-systems-could-threaten-democracy-109698.
30. N. Chokshi, How Surveillance Cameras Could Be Weaponized With A.I. (The New York Times,2019) https://www.nytimes.com/2019/06/13/us/aclu-surveillance-artificial-intellig
ence.html.
31. J. Daugman, The Essential Guide to Image Processing (Elsevier, 2009).
32. H. Borgen, P. Bours, and S. D. Wolthusen, “Visible-Spectrum Biometric Retina
Recognition,” Intelligent Information Hiding and Multimedia Signal Processing
International Conference (2008).
33. R. P. Wildes, “Iris Recognition: An Emerging Biometric Technology,” Proc. IEEE 85,
1348-1363 (1997).
34. J. R. Matey, O. Naroditsky, K. Hanna, R. Kolczynski, D. J. LoIacono, S. Mangru, M.
Tinker, T. M. Zappia, and W. Y. Zhao, “Iris on The Move: Acquisition of Images for Iris Recognition in Less Constrained Environment,” Proc. IEEE 94, 1936-1947 (2006).
35. St. Feldstein, China is Exporting AI Surveillance Technology to Countries Around The World (Newsweek, 2019)https://www.newsweek.com/china-ai-surveillance-technology-world-1403762.
36. Zhou Jiaquan, Drones, Facial Recognition and a Social Credit System: 10 Ways China Watches its Citizens (South China Morning Post, 2018) https://www.scmp.com/news/c
hina/society/article/2157883/drones-facial-recognition-and-social-credit-system-10-ways-china.
37. S. Kramer, Chinese Facial Recognition Database Exposes 2.5 Million People (Futurum, 2019) https://futurumresearch.com/chinese-facial-recognition-database/.
38. C. Zhao, China Used its Vast CCTV Surveillance Network to Track Down Reporter in Just Seven Minutes (Newsweek, 2017) https://www.newsweek.com/tasked-trying-remain-undetected-long-possible-sudworth-filmed-himself-selfie-747843.
39. C. Gohd, China’s CCTV System Tracked Down a Reporter in Only Seven Minutes (Futurism,2017) https://futurism.com/chinas-cctv-system-tracked-down-reporter-seven-minutes.
40. P. Mouroulis and J. Macdonald, Geometrical Optics and Optical Design (Oxford University Press, 1997).
41. R. H. Ginsberg, “Image Rotation,” Appl. Optics 33, 8105_8101-8108 (1994).
42. S. Sailm, Optical Vs Digital Zoom (Digital Wallpapaer HD, 2018) http://www.magellan- international.com/optical-vs-digital-zoom/.
43. Di Wang, Qiong-Hua Wang, Chuan Shen, Xin Zhou, and Chun-Mei Liu, “Active Optical Zoom System, ” Applied Optics Vol. 53, Issue 31, pp. 7402-7406 (2014).
44. Anonymous, Industry A Monthly Magazine Devoted to Science, Engineering and
Mechanic Arts, Issues 54-65 (Nabu Press, 2010).
45. J. Goodman, Introduction to Fourier Optics (Roberts and Company Publishers,200
4).
46. 倪薇雯,高動態範圍監控系統之研究,國立中央大學光學所碩士論文,中華民國107
年。
47. 台灣新泰貿易FSK, http://www.fsk.com.tw/products_view.php?scat=18.
48. Logitech., http://support.logitech.com/en_us/product/hd-webcam-c615/specs.
49. 坦聯企業, http://www.tanlian.tw/.
50. The MathWorks Inc. MATLAB ver. R2018b. (Natick, Massachusetts, 2018).
51. V. S. Bhat and J. D. Pujari, “An Approach for Face Detection using Artificial Intelligence,” IEEE Xplore, 978-1-4799-6629-5.
52. LabVIEW, https://www.ni.com/zh-tw/shop/labview.html.
53. 舜元企業, https://www.soonkst.com/spindle-actuators-kst-s01-big5.
54. 楔石攝影怪兵,https://www.kphoto.com.tw/index.php?route=product/product&product    
  _id=409&tag_id=391&category_id=121.
指導教授 孫慶成 審核日期 2019-11-7
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明