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OpenCV 영상처리와 TensorFlow 딥 러닝 영상처리 기반의 지능형 실종자 색인 시스템 구현

Intelligent missing persons index system Implementation based on the OpenCV image processing and TensorFlow Deep-running Image Processing

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다운로드

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참고문헌

키워드

주제분류컴퓨터학

초록

In this paper, we present a solution to the problems caused by using only text - based information as an index element when a commercialized missing person indexing system indexes missing persons registered in the database. The existing system could not be used for the missing persons inquiry because it could not formalize the image of the missing person registered together when registering the missing person. To solve these problems, we propose a method to extract the similarity of images by using OpenCV image processing and TensorFlow deep - running image processing, and to process images of missing persons to process them into meaningful information. In order to verify the indexing method used in this paper, we constructed a Web server that operates to provide the information that is most likely to be needed to users first, using the image provided in the non - regular environment of the same subject as the search element.

Abstract

In this paper, we present a solution to the problems caused by using only text - based information as an index element when a commercialized missing person indexing system indexes missing persons registered in the database. The existing system could not be used for the missing persons inquiry because it could not formalize the image of the missing person registered together when registering the missing person. To solve these problems, we propose a method to extract the similarity of images by using OpenCV image processing and TensorFlow deep - running image processing, and to process images of missing persons to process them into meaningful information. In order to verify the indexing method used in this paper, we constructed a Web server that operates to provide the information that is most likely to be needed to users first, using the image provided in the non - regular environment of the same subject as the search element.

참고문헌 (12)

  1. Deock-Soon Son, "Establishment support system for missing children", Gyeonggi-do issue brief in the world, (2) (2008)
  2. Hee-Seon Kim, "Proposal for Prevention of Mia and Support for Family Reunion", Politics in Korea, (162549) (2003)
  3. won-seok Chae, "Face Detection Technology Trends", Electronics and Telecommunications Research Institute, ~ (2013)
  4. "OpenCV User Guide, Cascade Classifier Training", ~ (2007)
  5. Y. Bengio, "Representation Learning: A Review and New Perspectives", IEEE Trans. PAMI, special issue Learning Deep Architectures (2013)
  6. "Deep Learning in Neural Networks:An Overview"[URL]
  7. RGB to YCbCr Report, "Logic Devices", Logic Devices, 2~ (2001)
  8. "Color Models"[URL]
  9. Vietdungiitb, "Online handwriting recognition using multi convolution neural networks"
  10. 백영태, "OpenCV 이진화처리와 히스토그램 그래프를 이용한 제스처인식", 한국컴퓨터정보학회논문지, 21(2), pp.17~23 (2016), 한국컴퓨터정보학회
  11. Vietdungiitb, "Online handwriting recognition using multi convolution neural networks"
  12. XiangWu, "A Lightened CNN for Deep Face Representation" (2015)

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