Background subtraction for dynamic texture scenes using fuzzy color histograms

IEEE Signal Processing Letters

Volumn 19, Issue 3, 2012, Pages 127-130

  Kim, Wonjun ^a   Kim, Changick ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Background subtraction; clustering based feature; fuzzy color histogram; structured motion patterns

Indexed keywords

BACKGROUND MOTION; BACKGROUND SUBTRACTION; BACKGROUND SUBTRACTION ALGORITHMS; CLUSTERING-BASED FEATURE; COLOR VARIATIONS; DETECTING MOVING OBJECTS; DYNAMIC TEXTURES; FALSE POSITIVE RATES; FUZZY COLOR HISTOGRAM; MOTION PATTERN; MOVING OBJECTS; TIME-PERIODS;

DETECTOR CIRCUITS; GRAPHIC METHODS; STATISTICAL METHODS; TEXTURES; TIME AND MOTION STUDY;

COLOR;

EID: 84862968684     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2011.2182648     Document Type: Article

References (14)

1. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Computer Vision and Pattern Recognition (CVPR), Jun. 1999, vol. 2, pp. 246-252.
2. H. Wang and D. Suter, "A re-evaluation of mixture of Gaussian background modeling," in Proc. IEEE Int. Conf. Accoustics, Speech, and Signal Processing (ICASSP), Mar. 2005, vol. 2, pp. 1017-1020.
3. B. White and M. Shah, "Automatically tuning background subtraction parameters using particle swarm optimization," in Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Jul. 2007, pp. 1826-1829.
4. B. Zhong, S. Liu, H. Yao, and B. Zhang, "Multi-resolution background subtraction for dynamic scenes," in Proc. IEEE Int. Conf. Image Processing (ICIP), Nov. 2009, pp. 3193-3196.
5. A. B. Chan, V. Mahadevan, and N. Vasconcelos, "Generalized Stauffer-Grimson background subtraction for dynamic scenes," Mach. Vis. Applicat., vol. 22, no. 5, pp. 751-766, 2011.
6. G. Dalley, J. Migdal, and W. Grimson, "Background subtraction for temporally irregular dynamic textures," in Proc. IEEE Workshop on Applications of Computer Vision (WACV), Jan. 2008, pp. 1-7.
7. S. Zhang, H. Yao, and S. Liu, "Dynamic background modeling and subtraction using spatio-temporal local binary patterns," in Proc. IEEE Int. Conf. Image Processing (ICIP), Oct. 2008, pp. 1556-1559.
8. S. Zhang, H. Yao, S. Liu, X. Chen, and W. Gao, "A covariance-based method for dynamic background subtraction," in Proc. IEEE Int. Conf. Pattern Recognition (ICPR), Dec. 2008, pp. 1-4.
9. C.Guo and L. Zhang, "Anovelmultiresolution spatiotemporal saliency detection model and its applications in image and video compression," IEEE Trans. Image Process., vol. 19, no. 1, pp. 185-198, Jan. 2010.
10. V. Mahadevan and N. Vasconcelos, "Spatiotemporal saliency in dynamic scenes," IEEE Trans. Patt. Anal. Mach. Intell., vol. 32, no. 1, pp. 171-177, Jan. 2010.
11. P. Noriega and O. Bernier, "Real time illumination invariant background subtraction using local kernel histograms," in Proc. Brit. Machine Vision Conf. (BMVC), 2006, vol. 3, pp. 1-10.
12. J. Han and K.-K.Ma, "Fuzzy color histogram and its use in color image retrieval," IEEE Trans. Image Process., vol. 11, no. 8, pp. 944-952, Nov. 2002. (Pubitemid 34974178)
13. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley-Interscience, 2001.
14. L. Li, W. Huang, I. Y.-H. 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.