Foreground-adaptive background subtraction

IEEE Signal Processing Letters

Volumn 16, Issue 5, 2009, Pages 390-393

  McHugh, J Mike ^a   Konrad, Janusz ^a   Saligrama, Venkatesh ^a   Jodoin, Pierre Marc ^b  

^a Boston University   (United States)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

Adaptive estimation; Background subtraction; Hypothesis testing; Markov random fields; Motion detection

Indexed keywords

ADAPTIVE ESTIMATION; BACKGROUND SUBTRACTION; HYPOTHESIS TESTING; MARKOV RANDOM FIELDS; MOTION DETECTION;

HIDDEN MARKOV MODELS; LEARNING ALGORITHMS; MARKOV PROCESSES;

IMAGE SEGMENTATION;

EID: 64249083088     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2009.2016447     Document Type: Article

References (11)

1. T. Aach and A. Kaup, "Bayesian algorithms for adaptive change detection in image sequences using Markov random fields," Signal Process., Image Commun., vol. 7, pp. 147-160, 1995.
2. C. Stauffer and E. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 8, pp. 747-757, 2000.
3. A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis, "Background and foreground modeling using nonparametric kernel density for visual surveillance," Proc. IEEE, vol. 90, pp. 1151-1163, 2002.
4. L. Li, W. Huang, I. Gu, and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE Trans. Image Process., vol. 13, no. 11, pp. 1459-1472, Nov. 2004.
5. N. Paragios and V. Ramesh, "A MRF-based approach to real-time subway monitoring," in Proc. IEEE Conf. Computer Vision Pattern Recognition 2001, pp. 58-65.
6. J. Migdal and E. L. Grimson, "Background subtraction using Markov thresholds," in Proc. IEEE Workshop Motion and Video Computing, WACV/MOTIONS'05, 2005, vol. 2, pp. 58-65.
7. Y. Sheikh and M. Shah, "Bayesian modeling of dynamic scenes for object detection," IEEE Trans. Pattern Anal. Machine Intell., vol. 27, no. 11, pp. 1778-1792, 2005.
8. P.-M. Jodoin, M. Mignotte, and J. Konrad, "Statistical background subtraction using spatial cues," IEEE Trans. Circuits Syst. Video Technol., vol. 17, pp. 1758-1763, Dec. 2007.
9. J. McHugh, "Probabilistic Methods for Adaptive Background Subtraction," M.S. thesis, Boston Univ., Boston, MA, Jan. 2008.
10. [Online]. Available: http://iss.bu.edu/jkonrad/Research/VSNs/Background_ Subtraction/back-ground_abstraction.html
11. J. McHugh, J. Konrad, V. Saligrama, P.-M. Jodoin, and D. Castanon, "Motion detection with false discovery rate control," in Proc. IEEE Int. Conf. Image Processing, Oct. 2008.