Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

A Moving Object Tracking System from a Moving Camera by Integration of Motion Estimation and Double Difference

BBME와 DD를 통합한 움직이는 카메라로부터의 이동물체 추적 시스템

  • Published : 2004.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a system for automatic moving object detection and tracking in sequence images acquired from a moving camera. The proposed algorithm consists of moving object detection and its tracking. Moving object can be detected by integration of BBME and DD method We segment the detected object using histogram back projection, match it using histogram intersection, extract and track it using XY-projection. Computer simulation results have shown that the proposed algorithm is reliable and can successfully detect and track a moving object on image sequences obtained by a moving camera.

본 논문에서는 움직이는 카메라로부터 획득한 연속영상에서 이동물체를 자동으로 검출하고 추적하는 시스템을 제안한다. 제안된 방법은 크게 이동물체 검출과 추적과정으로 나뉘어진다. 이동물체는 BBME(block-based motion estimation)와 DD(double difference)를 통합한 방법을 이용하여 검출된다. 검출된 이동물체는 히스토그램 백 프로젝션을 통하여 분할되며, 히스토그램 인터섹션과 XY-프로젝션을 사용하여 대상물체를 정합하고 추적된다. 본 논문에서는 컴퓨터 모의실험을 통하여 제안된 방법이 움직이는 카메라로부터 획득된 영상에서 이동물체를 검출하고 큰 오차 없이 추적함을 보였다.

Keywords

References

  1. A. Behrad, A. Shahrokni, S. A. Motamedi and K. Madani, 'A Robust Vision-based Moving Target Detection and Tracking System,' IVCNZ2001, University of Otago, Dunedin, New Zealand 26th - 28th Nov., 2001
  2. T. Suzuki and T. Kanade, 'Measurement of vehicle motion and orentation using optical flow,' IEEE Conference on Intelligent Transportation Systems, Tokyo, Japan, Oct., 1999 https://doi.org/10.1109/ITSC.1999.821022
  3. H. H. Nagel and M. Haag, 'Bias-corrected optical flow estimation for road vehicle tracking,' ICCV '98, Bombay/India, 4-7 Jan., 1998 https://doi.org/10.1109/ICCV.1998.710839
  4. J. Odobez and P. Bouthemy, 'Detection of multiple moving objects using multiscale MRF with camera motion compensation,' Proc. ICIP '94, vol. 2, pp. 257-261, 1994 https://doi.org/10.1109/ICIP.1994.413571
  5. S. Araki, T. Matsuoaka, N. Yokoya and H. Takemura, 'Real-time tracking of multiple moving object contours in a moving camera image sequences,' IEICE Trans. Inf. & Syst., vol. E83-D, no. 7, Jul., 2001
  6. D. Murray and A. Basu, 'Motion tracking with an active camera,' IEEE Trans. Patern Anal. & Mach Intell., vol. 16, no. 5, pp. 449-459, 1995 https://doi.org/10.1109/34.291452
  7. R. Jain, D. Militzer and H. Nagel, 'Separating non-stationary from stationary scene components in a sequence of real world TV images,' Proc. fifth Int. Joint Conf. Artif. Intell., pp. 425-428, 1977
  8. M. Accame, F. G. B. De Natale and D. D. Giusto, 'High Performance Hierarchical Block-based Motion Estimation for Real-Time Video Coding,' Real-Time Imaging, vol. 4, No. 1, pp. 67-79, Feb., 1998 https://doi.org/10.1006/rtim.1996.0064
  9. F. Moschetti, E. Debes, 'A Fast Block Matching for SIMD Processors Using Subsampling,' IEEE Int'l. Symposium on CS, vol. 4, pp. 321-324, 2000 https://doi.org/10.1109/ISCAS.2000.858753
  10. R. Mandelbaum G. Salgian, H. Sawhney, 'Correlation-Based Estimation of Ego-motion and Structure from Motion and Stereo,' Proc. of the ICCV '98, Kerkyra, Greece, Sept. 1999 https://doi.org/10.1109/ICCV.1999.791270
  11. R. Cucchiara. M. Piccardi, A. Prati, N. Scarabottolo, 'Real-time Detection of Moving Vehicles,' Proc. of 10th ICIAP, Venice, Italy, pp. 618-623, Sept., 1999 https://doi.org/10.1109/ICIAP.1999.797665
  12. 설성욱, 이희봉, 김효성, 남기곤, 이철헌, '히스토그램 프로젝션을 이용한 움직이는 카메라로부터의 이동 물체 추적 알고리즘,' 한국 신호처리 시스템 학회 논문지, 제2권, 제4호, pp. 38-45, 2001. 10