Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Design and Implementation of Vehicle Route Tracking System using Hadoop-Based Bigdata Image Processing

하둡 기반 빅데이터 영상 처리를 통한 차량 이동경로 추적 시스템의 설계 및 구현

  • 양성은 (강원대학교 컴퓨터정보통신공학전공) ;
  • 최창열 (강원대학교 컴퓨터정보통신공학전공) ;
  • 최황규 (강원대학교 컴퓨터정보통신공학전공)
  • Received : 2013.11.07
  • Accepted : 2013.12.18
  • Published : 2013.12.31
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Abstract

As the surveillance CCTVs are increasing every year, big data image processing for the CCTV image data has become a hot issue. In this paper, we propose a Hadoop-based big data image processing technique to recognize a vehicle number from a large amount of automatic number plate images taken from CCTVs. We also implement the vehicle route tracking system that displays the moving path of the searched vehicle on Google Maps with the related information together. In order to evaluate the performance we compare and analysis the vehicle number recognition time for a lot of CCTV image data in Hadoop and the single PC environment.

수많은 CCTV에서 기록 보관되는 영상 데이터가 폭발적으로 증가하면서, 빅데이터 환경에 적합한 CCTV 영상 데이터의 처리와 응용이 큰 이슈가 되고 있다. 본 논문에서는 대규모 CCTV 영상 데이터를 하둡 기반으로 병렬처리하고, 이를 활용한 VRT(Vehicle Route Tracking) 시스템을 설계 구현한다. VRT 시스템은 대규모 차량 번호판 인식 시스템의 특성을 가지며, 구글 맵을 통해 특정 차량의 이동경로를 빠른 시간 내에 추적 가능케 한다. 그리고 VRT 시스템의 성능 평가를 위한 실험을 통하여 단일 PC와 하둡 환경에서 대규모 CCTV 영상 데이터의 번호판 인식 시간을 비교 분석한다.

Keywords

References

  1. CCTV Installation and Operation of public institutions(2013), http://www.index.go.kr/egams/stts/jsp/potal/stts/PO_STTS_IdxMain.jsp?idx_cd=2855.
  2. C. Y. Jung, J. W. Han, J. S. Jang, "Big Data issues in video surveillance technology," KIIT, vol. 10, no. 3, pp. 31-37, 2012.
  3. Qadri M.T, Asif M, "Automatic Number Plate Recognition System for Vehicle Identification Using Optical Character Recognition", Education Technology and Computer, pp. 335-338, 2009.
  4. Christos-Nikolaos E. Anagnostopoulos, Ioannis E. Anagnostopoulos, Ioannis D. Psoroulas, Vassili Loumos, Eleftherios Kayafas, "License Plate Recognition From Still Images and Video Sequences: A Survey", IEEE Transactions on Intelligent Transportation Systems, vol. 9, no. 3, pp. 377-391, Sep. 2008. https://doi.org/10.1109/TITS.2008.922938
  5. J. H. Jung, "Beginning Hadoop Programming Development and Operations", Wikibooks Press, 2013.
  6. Tom White, "Hadoop: The Definitive Guide", 2nd ed., O'Reilly, Sebastopol, CA, 2011.
  7. Shih-Jui Yang, Ho, C.C, Jian-Yuan Chen, Chuan-Yu Chang, "Practical Homography-based perspective correction method for License Plate Recognition", Information Security and Intelligence Control (ISIC), pp. 198-201, 2012.
  8. S. Lew, S. Y. Choi, W. J. Lee, B. R. Lee, K. W. Min, H. C. Kang, "Extraction of the License Plate Region Using HoG and AdaBoost", Journal of Digital Contents Society, vol. 10, no. 4, 2009.
  9. Ondrej Martinsky, "Algorithmic and Mathematical Principles of Automatic Number Plate Recognition Systems", Brno University of Technology, 2007.
  10. K. Shvachko, H. Kuang, S. Radia, R. Chansler, "The Hadoop Distributed File System," 26th IEEE Symposium on Mass Storage Systems and technologies, Yahoo!, Sunnyvale, pp. 1-10, May. 2010.
  11. J. Dean, S. Ghemawat, "Mapreduce: Simplified Data Processing on Large Clusters," 6th Symposium on Operating Systems Design and Implementation, Berkeley, USA, Dec. 2004.
  12. J. H. Chung, "Design of Trajectory Data Indexing and Query Processing for Real-Time LBS in MapReduce Environments", Journal of Digital Contents Society, vol. 14, no. 3, pp. 313-321, 2013. https://doi.org/10.9728/dcs.2013.14.3.313
  13. Google Maps API, http://code.google.com/intl/ko/apis/maps/documenta tion/javascript/.

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