Journal of KIISE (정보과학회 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Motion Area Detection Algorithm based on Irregularity of Light

빛의 불규칙성을 기반으로 한 동작영역 검출 알고리즘

  • 김창민 (상지대학교 컴퓨터공학전공) ;
  • 이규웅 (상지대학교 컴퓨터공학전공)
  • Received : 2017.05.25
  • Accepted : 2017.07.27
  • Published : 2017.10.15
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Abstract

In this paper, a motion image is detected based on the irregularity of lights. This motion image is extracted by modifying the reflected light region of the 3 way-diff algorithms. 3 way-diff algorithm extracts reflected light region using the 3-successive image. In this algorithm, The reflected light region is a region generated by light in the image production process and is finally created around all objects. The algorithm shows a process to extracting the region. This process is a simple operation, but doesn't have a defined formula for light. This paper judges that the reflected light region is a kind of noise at the 3 way-diff algorithms and defines the formula for extracting the reflected light region. It shows that compared with the proposed algorithm and existing algorithm through experiment.

본 논문이 제안하는 동작검출 알고리즘은 빛에 대한 불규칙성을 이용하여 동작영역을 탐색하는 방식으로, 기존 3 way-diff 알고리즘에서 주장한 반사된 빛 영역을 수식화하여 추출한다. 즉, 3 way-diff 알고리즘을 확장한 알고리즘이다. 3 way-diff 알고리즘은 연속된 3개의 이미지를 사용하여 반사된 빛 영역을 추출한다. 이 알고리즘에서 주장하는 반사된 빛 영역이란 이미지 제작과정에서 빛에 의해 발생된 영역으로 모든 사물 주변에 미세하게 생성된다. 이러한 영역을 추출하기 위해 하나의 과정을 보인다. 하지만 이 과정은 단순한 작업일 뿐 빛에 대한 수식이 정의되지 않았다. 본 논문은 3 way-diff 알고리즘에서 주장하는 반사된 빛 영역을 잡음의 일종이라 판단하여 반사된 빛 영역을 추출하는 수식을 정의한다. 제안된 알고리즘과 기존 알고리즘들에 실험을 통해 성능비교를 보인다.

Keywords

References

  1. K. W. Lee, "Implementation of Video Surveillance System with Motion Detection based on Network Camera Facilities," Journal of the IIBC, Vol. 14, No. 1, pp. 169-177, Feb. 2014. (in Korean)
  2. C. M. Kim and K. W. Lee, "Face Region Detection of a Pedestrian Using Ω-Feature in Video Surveillance System," Journal of Korean Institute of Information Technology, Vol. 14, No. 9, pp. 27-36, Sep. 2016. (in Korean)
  3. R. T. Collins, A. J. Lipton, and T. Kanade, "Introduction to the special section on video surveillance," IEEE Trans. Pattern Anal. Machine Intelligence, Vol. 22, pp. 745-746, Aug. 2000. https://doi.org/10.1109/TPAMI.2000.868676
  4. C. M. Kim and K. W. Lee, "Implementation of Motion Detection based on Extracting Reflected Light using 3-Successive Video Frames," KIISE Transactions on Computing Practices, Vol. 22, No. 3, pp. 133-138, May. 2016. (in Korean) https://doi.org/10.5626/KTCP.2016.22.3.133
  5. S. W. Jang and J. U. Kim, "Analysis of Moving Object Trajectories Using Difference Images," Journal of the Korean Institute of Information Technology, Vol. 4, No. 3, pp. 19-28, Jul. 2005. (in Korean)
  6. R. Collins, A. Lipton, and T. Kanade, "A System for Video Surveillance and Monitoring," Proc. of the ANS 8th International Topical Meeting Robotic and Remote Systems, Apr. 1999.
  7. W. M. Hu, T. N. Tan, L. Wang, and S. J. Maybank, "A Survey on Visual Surveillance of Object Motion and Behaviors," IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 34, No. 3, pp. 334-352, 2004. https://doi.org/10.1109/TSMCC.2004.829274
  8. G. Y. Kim, E. J. Lee and H. I. Choi, "Extraction of Motion Information by Analyzing Difference Images," Journal of the Korea Information Science Society, Vol. 21, No. 8, pp. 1480-1489, Aug. 1994. (in Korean)
  9. N. J. Kwak and T. S. Song, "Automatic Detecting and Tracking Algorithm of Joint of Human Body using Human Ratio," Journal of the Korea Contents Association, Vol. 11, No.11, pp. 215-224, Apr. 2011. (in Korean)
  10. K. M. Lim and J. S. Lee, "Moving Object Detection Algorithm for Surveillance System," The Journal of The Korean Institute of Communication Sciences, Vol. 30, No. 1C, pp. 44-53, Jan. 2005. (in Korean)
  11. Y. Kameda and M. Minoh, "A human motion estimation method using 3-successive video frames," Proc. of the International Conference on Virtual Systems and Multimedia, pp. 135-140, Sep. 1996.
  12. J. H. Jeon, D. H. Kim, Y. G. Yang, J. K. Paik, and C. S. Lee, "Image Distortion Compensation for Improved Gait Recognition," Journal of the Institute of Electrical and Electronics Engineers, Vol. 46, No. 4, pp. 97-107, Jul. 2009. (in Korean)
  13. M. K. Oh, T. I. Kim, D. J. Choi and B. M Jun, "Decision of Adaptive Threshold Value Using Histogram in Differential Image," Journal of the Korea Contents Association, Vol. 4, No. 3, pp. 91-97, Sep. 2004. (in Korean)
  14. J. N. Chung and H. S. Yang, "Comparison between Retinex model and Illumination-reflectance model for object recognition," Proc. of the Korea Multimedia Society Spring Conference, pp. 28-31, 2005. (in Korean)
  15. J. W. Park, K. H. Lee, "Noise elimination in difference image for object detection," Proc. of the HCI Society of Korea, pp. 1207-1211, Feb. 2004. (in Korean)
  16. CASIA database, [Online]. Available: http://www.sinobiometrics.com(downloaded 2014, Jan. 14)