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Original Articles

A framework for moving object segmentation using dynamic background modelling and shadow suppression in complex wavelet domain

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Pages 267-278 | Received 05 Jun 2015, Accepted 04 Apr 2016, Published online: 25 Apr 2016

References

  • Kushwaha, A. K. S., Sharma, C., Khare, M., Srivastava, R. K. and Khare, A. Automatic multiple human detection and tracking for visual surveillance system. Proceedings of IEEE/OSA/IAPR International Conference on Informatics , Electronics and Vision, Dhaka, 2012, pp. 326–331.
  • 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. doi: 10.1109/TSMCC.2004.829274
  • Toyama, K., Krumm, J., Brumitt, B. and Meyers, B. Wall flower: principles and practice of background maintenance. Proceedings of IEEE International Conference on Computer Vision (ICCV), 1999, pp. 255–261.
  • Huang, J. C. and Hsieh, W.-S. Wavelet-based moving object segmentation. Electron. Lett., 2003, 39, (19), 1380–1382. doi: 10.1049/el:20030909
  • Huang, J. C., Su, T. S., Wang, L. J. and Hsieh, W.-S. Double change detection method for wavelet-based moving object segmentation. Electron. Lett., 2004, 40, (13), 798–799. doi: 10.1049/el:20040534
  • Im, T. H., Eom, I. K. and Kim, Y. S. Wavelet-based moving object segmentation using background registration technique. Proceedings of the Ninth IASTED International Conference on Signal and Image Processing, 2007, pp. 84–88.
  • Baradarani, A. and Wu, Q. M. J. Wavelet based moving object segmentation: from scalar wavelets to dual-tree complex filter banks. Pattern Recognition Recent Advances, ISBN 978-953-7619-90-9, InTech Publication, 2010.
  • Baradarani, A. Moving object segmentation using 9/7-10/8 dual tree complex filter bank. Proceeding of IEEE 19th International Conference on Pattern Recognition (ICPR), 2008, pp. 1–4.
  • Khare, M., Srivastava, R. K. and Khare, A. Single change detection-based moving object segmentation by using Daubechies complex wavelet transform. J. IET Image Process., 2014, 8, (6), 334–344. doi: 10.1049/iet-ipr.2012.0428
  • Guan, Y. P. Spatio-temporal motion-based foreground segmentation and shadow suppression. J. IET Comput. Vis., 2010, 4, (1), 50–60. doi: 10.1049/iet-cvi.2008.0016
  • Khare, M., Srivastav, R. K. and Khare, A. Dual tree complex wavelet transform based shadow detection and removal from moving objects. Proceeding of 26th SPIE electronic imaging, 02–06 February, 2014, San Francisco, USA, 2014, Vol. 9029, pp. 1–7.
  • Liu, H., Chen, X., Chen, Y. and Xie, C. Double change detection method for moving-object segmentation based on clustering. Proceeding of IEEE ISCAS 2006 Circuits and System, 2006, pp. 5027–5030.
  • Daubechies, I.: Ten lectures on wavelets. SIAM, 1992.
  • Kim, K., Chalidabhongse, T. H., Harwood, D. and Davis, L. Real time foreground background segmentation using codebook model. J. Real Time Imaging, 2005, 11, (3), 172–185. doi: 10.1016/j.rti.2004.12.004
  • Hsia, C.-H. and Guo, J.-M. Efficient modified direction al lifting-based discrete wavelet transform for moving object detection. J. Signal Process., 2014, 96, 138–152. doi: 10.1016/j.sigpro.2013.09.007
  • Snidaro, L. and Foresti, G. L. Real-time thresholding with Euler numbers. Pattern Recognit. Lett., June 2003, 24, (9/10), 1533–1544. doi: 10.1016/S0167-8655(02)00392-6
  • Gray, S. B. Local properties of binary images in two dimensions. IEEE Trans. Comput., 1971, C-20, (5), 551–561. doi: 10.1109/T-C.1971.223289
  • Khare, A., Tiwary, U. S., Pedrycz, W. and Jeon, M. Multilevel adaptive thresholding and shrinkage technique for denoising using Daubechies complex wavelet transform. Imaging Sci. J., 2010, 58, (6), 340–358. doi: 10.1179/136821910X12750339175826
  • Sridhar, S. Digital image processing. 3rd edn., 2008 (Oxford Publication, New Delhi, India).
  • Pets dataset. [online] http://www.cvg.rdg.ac.uk/PETS2013/a.html (accessed 10 August 2014).
  • Imagelab group, Visor repository. [online] http://imagelab.ing.unimore.it/visor_test/video_details.asp?idvideo=194 (accessed 10 August 2014).
  • Andrea, P. Visor repository. [online] http://imagelab.ing.unimore.it/visor/video_details.asp?idvideo=113 (accessed 26 August 2014).
  • Ali, S. and Shah, M. Center for Research in Computer Vision. [online] http://crcv.ucf.edu/data/crowd.php (accessed 26 August 2014).
  • Prati, A., Mikic, I., Trivedi, M. M., and Cucchiara, R. Detecting moving shadows: Algorithms and evaluation. IEEE Trans. Pattern Anal. Machine Intell., 2003, 25, (7), 918–923. doi: 10.1109/TPAMI.2003.1206520
  • Poobal, S. and Ravindran, G. The performance of fractal image compression on different imaging modalities using objective quality measures. Int. J. Eng. Sci. Technol., 2011, 3, (1), 525–530.
  • Gao-bo, Y. and Zhao-yang, Z. Objective performance evaluation of video segmentation algorithms with ground-truth. J. Shanghai Univ. (English Ed.), 2004, 8, (1), 70–74. doi: 10.1007/s11741-004-0015-5
  • Eskicioglu, A. M. and Fisher, P. S. Image quality measures and their performance. IEEE Trans. Commun., 1995, 43, (12), 2959–2965. doi: 10.1109/26.477498
  • Avcibas, I., Sankur, B. and Sayood, K. Statistical evaluation of image quality measure. J. Electron. Imaging, 2002, 11, (2), 206–223. doi: 10.1117/1.1455011

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