Comparative study of background subtraction algorithms

Journal of Electronic Imaging

Volumn 19, Issue 3, 2010, Pages

  Benezeth, Yannick ^a   Jodoin, Pierre Marc ^b   Emile, Bruno ^c   Laurent, Hélène ^d  

^a ORANGE LABS   (France)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

^c UNIVERSITÉ D'ORLÉANS   (France)

^d UNIVERSITÉ DE CAEN   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND SUBTRACTION; BACKGROUND SUBTRACTION ALGORITHMS; BACKGROUND SUBTRACTION METHOD; BENCHMARK DATABASE; COMPARATIVE STUDIES; COMPUTATIONAL EFFORT; GLOBAL THRESHOLDING; GROUND TRUTH; MARKOVIAN; MEMORY REQUIREMENTS; MOTION DETECTION; MULTIMODAL BACKGROUND;

JITTER;

MATHEMATICAL OPERATORS;

EID: 78650628507     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.3456695     Document Type: Article

References (35)

1. V. Cheng and N. Kehtarnavaz, "A smart camera application: Dspbased people detection and tracking," J. Electron. Imaging 9(3), 336-346 (2000).
2. T. Inaguma, H. Saji, and H. Nakatani, "Hand motion tracking based on a constraint of three-dimensional continuity," J. Electron. Imaging 14(1), 013021 (2005).
3. D. Makris and T. Ellis, "Path detection in video surveillance," Image Vis. Comput. 20, 895-903 (2002). (Pubitemid 35039924)
4. D. Makris and T. Ellis, "Learning semantic scene models from observing activity in visual surveillance," IEEE Trans. Syst., Man, Cybern., Part B: Cybern. 35, 397-408 (2005). (Pubitemid 40802755)
5. Q. Zhou and J. Aggarwal, "Tracking and classifying moving objects from video," in Proc. Performance Evaluation of Tracking Systems Workshop, IEEE, Piscataway, NJ (2001).
6. S. C. S. Cheung and C. Kamath, "Robust techniques for background subtraction in urban traffic video," in Visual Communications and Image Processing 2004, Proc. SPIE 5308, 881-892 (2004).
7. W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors," IEEE Trans. Syst. Man Cybern., Part C Appl. Rev. 34(3), 334-352 (2004).
8. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: principles and practice of background maintenance," in Proc. Int. Conf. on Computer Vision, Vol. 1, pp. 255-261, IEEE, Piscataway, NJ (1999). (Pubitemid 32080048)
9. S. Panahi, S. Sheikhi, S. Hadadan, and N. Gheissari, "Evaluation of background subtraction methods," in Proc. Int. Conf. on Digital Image Computing: Techniques and Applications, pp. 357-364, IEEE, Piscataway, NJ (2008).
10. S. Herrero and J. Bescós, "Background subtraction techniques: systematic evaluation and comparative analysis," in Proc. Int. Conf. Advanced Concepts for Intelligent Vision Systems, Lect. Notes Comput. Sci. 5807, 33-42 (2009).
11. T. H. Chalidabhongse, K. Kim, D. Harwood, and L. Davis, "A perturbation method for evaluating background subtraction algorithms," in Proc. Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, IEEE, Piscataway, NJ (2003).
12. Y. Benezeth, B. Emile, and C. Rosenberger, "Comparative study on foreground detection algorithms for human detection," in Proc. Int. Conf. on Image and Graphics, pp. 661-666, IEEE, Piscataway, NJ (2007).
13. D. Hall, J. Nascimento, P. Ribeiro, E. Andrade, P. Moreno, S. Pesnel, T. List, R. Emonet, R. B. Fisher, J. S. Victor, and J. L. Crowley, "Comparison of target detection algorithms using adaptive background models," in Proc. Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 113-120, IEEE, Piscataway, NJ (2005). (Pubitemid 46170618)
14. R. Cucchiara, C. Grana, A. Prati, and R. Vezzani, "Probabilistic posture classification for human-behavior analysis," IEEE Trans. Syst. Man Cybern., Part A. Syst. Humans 35, 42-54 (2005). (Pubitemid 40085385)
15. J. Heikkila and O. Silven, "A real-time system for monitoring of cyclists and pedestrians," in Proc. Workshop on Visual Surveillance, pp. 74-81, IEEE, Piscataway, NJ (2004).
16. S. Ghidary, Y. Nakata, T. Takamori, and M. Hattori, "Human detection and localization at indoor environment by homerobot," in Proc. Int. Conf. on Systems, Man, and Cybernetics, Vol. 2, pp. 1360-1365, IEEE, Piscataway, NJ (2000). (Pubitemid 32069229)
17. C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, "Pfinder: real-time tracking of the human body," IEEE Trans. Pattern Anal. Mach. Intell. 19, 780-785 (1997). (Pubitemid 127762271)
18. S. C. S. Cheung and C. Kamath, "Robust background subtraction with foreground validation for urban traffic video," EURASIP J. Appl. Signal Process. 2005, 2330-2340 (2005). (Pubitemid 43016374)
19. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting moving objects, ghosts and shadows in video streams," IEEE Trans. Pattern Anal. Mach. Intell. 25(10), 1337-1342 (2003).
20. I. Haritaoglu, D. Harwood, and L. S. Davis, "W 4: real-time surveillance of people and their activities," IEEE Trans. Pattern Anal. Mach. Intell. 22, 809-830 (2000).
21. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. Int. Conf. on Computer Vision and Pattern Recognition, Vol. 2, IEEE, Piscataway, NJ (1999).
22. P. KaewTraKulPong and R. Bowden, "An improved adaptive background mixture model for real-time tracking with shadow detection," in Proc. Workshop on Advanced Video-Based Surveillance Systems Conf., Kluwer Academic Publishers, Dordrecht, The Netherlands (2001).
23. Z. Zivkovic, "Improved adaptive Gaussian mixture model for background subtraction," in Proc. Int. Conf. Pattern Recognition, pp. 28-31, IEEE, Piscataway, NJ (2004).
24. A. Elgammal, D. Harwood, and L. Davis, "Non-parametric model for background subtraction," in Proc. Eur. Conf. on Computer Vision, Lect. Notes Comput. Sci. 1843, 751-767 (2000).
25. A. Mittal and N. Paragios, "Motion-based background subtraction using adaptive kernel density estimation," in Proc. Int. Conf. on Computer Vision and Pattern Recognition, pp. 302-309, IEEE, Piscataway, NJ (2004).
26. K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis, "Realtime foreground-background segmentation using codebook model," Real-Time Imag. 11, 172-185 (2005). (Pubitemid 40929458)
27. N. M. Oliver, B. Rosario, and A. P. Pentland, "A Bayesian computer vision system for modeling human interactions," IEEE Trans. Pattern Anal. Mach. Intell. 22, 831-843 (2000).
28. R. Li, Y. Chen, and X. Zhang, "Fast robust eigen-background updating for foreground detection," in Proc. Int. Conf. on Image Processing, pp. 1833-1836, IEEE, Piscataway, NJ (2006).
29. J. Rymel, J. Renno, D. Greenhill, J. Orwell, and G. A. Jones, "Adaptive eigen-backgrounds for object detection," in Proc. Int. Conf. on Image Processing, pp. 1847-1850, IEEE, Piscataway, NJ (2004). (Pubitemid 40820593)
30. http://dparks.wikidot.com.
31. J. H. Piater and J. L. Crowley, "Multi-modal tracking of interacting targets using Gaussian approximations," in Proc. 2nd Int. Workshop on Performance Evaluation of Tracking and Surveillance (PETS'2001), pp. 141-177, IEEE, Piscataway, NJ (2001).
32. L. Brown, A. Senior, Y. Tian, J. Vonnel, A. Hampapur, C. Shu, H. Merkl, and M. Lu, "Performance evaluation of surveillance systems under varying conditions," in Proc. Performance Evaluation of Tracking Systems Workshop, pp. 1-8, IEEE, Piscataway, NJ (2005).
33. http://imagelab.ing.unimore.it/vssn06.
34. A. C. Bovik, Handbook of Image and Video Processing, Academic Press, Orlando, FL (2005).
35. T. Aach and A. Kaup, "Bayesian algorithms for adaptive change detection in image sequences using markov random fields," Signal Process. Image Commun. 7, 147-160 (1995).