Journal of Korea Society of Digital Industry and Information Management (디지털산업정보학회논문지)

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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A Method for Object Tracking Based on Background Stabilization

동적 비디오 기반 안정화 및 객체 추적 방법

  • 정훈조 (한서대학교 항공소프트웨어공학과) ;
  • 이동은 (LG CNS 미래전략사업부)
  • Received : 2018.02.20
  • Accepted : 2018.03.22
  • Published : 2018.03.30
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Abstract

This paper proposes a robust digital video stabilization algorithm to extract and track an object, which uses a phase correlation-based motion correction. The proposed video stabilization algorithm consists of background stabilization based on motion estimation and extraction of a moving object. The motion vectors can be estimated by calculating the phase correlation of a series of frames in the eight sub-images, which are located in the corner of the video. The global motion vector can be estimated and the image can be compensated by using the multiple local motions of sub-images. Through the calculations of the phase correlation, the motion of the background can be subtracted from the former frame and the compensated frame, which share the same background. The moving objects in the video can also be extracted. In this paper, calculating the phase correlation to track the robust motion vectors results in the compensation of vibrations, such as movement, rotation, expansion and the downsize of videos from all directions of the sub-images. Experimental results show that the proposed digital image stabilization algorithm can provide continuously stabilized videos and tracking object movements.

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References

  1. L. Marcenaro, G. vernazza, and C. S. Regazzoni, "Image stabilization algorithms for video surveillance applications," Proc. Int. Conf. on Image Processing, Vol.1, 2001, pp.349-352.
  2. S. Erturk, and T. J. Dennis, "Image sequence stabilization based on DFT filtering," Proc. Image Vision and Signal Processing, Vol.127, 2000, pp.95-102.
  3. H. Foroosh, J. Zerubia, and M. Berthod, "Extension of phase correlation to subpixel registration," IEEE Trans. Image Processing, Vol.11, 2002, pp.188-200. https://doi.org/10.1109/83.988953
  4. S. Erturk, "Digital Image Stabilization with sub-Image phase correlation based global motion estimation," IEEE Trans. Consumer Electronics, Vol.49, 2003. pp.1320-1325. https://doi.org/10.1109/TCE.2003.1261235
  5. 조범석.김영로, "모션 추정과 객체 추적을 이용한 이미지 깊이 검출기법," 디지털산업정보학회 논문지, 제4권, 제2호, 2008, pp.15-19.
  6. 전형섭.손기성.한순우.박종원, "카메라 영상을 이용한 진동 변위 측정 시 카메라 흔들림 보정 방법," 한국소음진동공학회논문집, 제24권, 제10호, 2014, pp.817-824. https://doi.org/10.5050/KSNVE.2014.24.10.817
  7. 이완규, "특징점 추적을 이용한 전자 영상 안정화 기법 개발 및 구현," 대한전자공학회 하계종합학술대회, 2014, pp.866-868.
  8. 신흥열, "자동 감시 추적을 위한 표적영상 검출 및 서보모터 제어," 디지털산업정보학회 논문지, 제6권, 제2호, 2010, pp.119-127.
  9. 곽휘권, "임의의 외란에 대한 영상 안정화," 한국산학기술학회논문지, 제15권, 제9호, 2014, pp.5750-5757. https://doi.org/10.5762/KAIS.2014.15.9.5750
  10. Q. Zheng, and M. Yang, "A Video Stabilization Method Based on Inter-frame Image Matching Score," Global Journal of Computer Science and Technology, Vol.17, 2017, pp.40-46.
  11. 홍성일.인치호, "이동차량 영상 안정화를 위한 효율적인 흔들림 보정 기법," 한국인터넷방송통신학회 논문지, 제14권, 제3호, 2014, pp.155-162.
  12. 유신.이완주.강현철, "차량용 비전 시스템을 위한 영상 안정화에 관한 연구," 한국해양정보통신학회논문지, 제15권, 제4호, 2011, pp.957-964.
  13. A. Lim, B. Ramesh, Y. Yang, C. Xiang, Z. Gao, and F. Lin, "Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles," Journal of Real-Time Image Processing, 2017, pp.1-11.