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Research Paper

Adaptive real-time motion segmentation technique based on statistical background model

, , , &
Pages 285-302 | Received 15 Apr 2011, Accepted 25 Jun 2013, Published online: 15 Jan 2014

References

  • Hu W and Tan T. A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst., Man, Cybern., 2006, 34, (3), 334–352.
  • Stauffer C and Grimson WEL. Adaptive background mixture models for real-time tracking, Proc. Conf. on Computer Vision and Pattern Recognition, Corfu, Greece, March 1999, pp. 246–252.
  • Nigam S and Khare A. Curvelet transform based technique for tracking of moving objects, IET Comput. Vis., 2012, 6, (3), 231–251.
  • Zhang Y. An Overview of Image and Video Segmentation in the Last 40 Years, Book Vol. 1, pp. 1–16, 2006. Available at: http://www.igi-global.com/bookstore/Chapter.aspx?TitleId = 4834
  • Meier T. ‘Segmentation for video object plane extraction and reduction of coding artifacts’, PhD thesis, Department of Electrical and Electronic Engineering, The University of Western Australia, Australia, 1998.
  • Guo LH. A fast and automatic video object segmentation, Proc. IEEE Int. Conf. on Communications, Circuits and Systems, Xiamen, China, May 2008, pp. 714–717.
  • Zhang XY, Liu LX and Zhuang XC. An automatic video segmentation scheme, Proc. IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems, Xiamen, China, November–December 2007, pp. 272–275.
  • Wren CR, Azarbayejani A, Darrell T and Pentland AP. Pfinder: real-time tracking of the human body, IEEE Trans. Pattern Anal. Machine Intell., 1997, 19, (7), 780–785.
  • Horprasert T, Harwood D and Davis LS. A statistical approach for real-time robust background subtraction and shadow detection, Proc. IEEE ICCV Conf., Kerkyra, Greece, September 1999, pp. 1–19.
  • Wu X. Yang L. and Yang C. Automatic real-time video background segmentation system, Proc. IEEE Int. Conf. on Management and Service Science, Beijing, China, September 2009, pp. 1–4.
  • Han J and Ngan KN. Automatic segmentation of object of interest in video: a unified framework, Proc. IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems, Seoul, South Korea, November 2004, pp. 375–378.
  • Kim K, Chalidabhongse TH, Harwood D and Davis L. Real-time foreground-background segmentation using codebook model, Int. J. Real-Time Imaging, 2005, 11, 172–185.
  • Antonisse HJ. Image segmentation in pyramids, Int. J. Comput. Graphic Image Process., 2004, 19, 367–383.
  • Bradski GR and Davis JW. Motion segmentation and pose recognition with motion history gradients, Int. J. Machine Vis. Appl., 2002, 13, (3), 174–184.
  • Toyama K, Krumm J, Brumitt B and Meyers B. Wallflower: principles and practice of background maintenance, Proc. 7th IEEE Int. Conf. on Computer Vision, Corfu, Greece, September 1999, pp. 255–261.
  • Malik MB and Ali U. Adaptive thresholding using particle filter for tracking small and low contrast objects, Proc. 10th Int. Conf. on Information Sciences Signal Processing and their Applications (ISSPA), Kuala Lumpur, Malaysia, May 2010, pp. 205–208.

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