Robust motion detection using histogram of oriented gradients for illumination variations

ICIMA 2010 - 2010 2nd International Conference on Industrial Mechatronics and Automation

Volumn 2, Issue , 2010, Pages 443-447

  Hu, Lei ^a   Liu, Weibin ^a   Li, Bo ^a   Xing, Weiwei ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Foreground segmentation; Histogram of oriented gradients; Illumination variations; Motion detection

Indexed keywords

BACKGROUND MODEL; COLOR FEATURES; CURRENT FRAME; DETECTING MOVING OBJECTS; DETECTION PERFORMANCE; DETECTION PHASE; DETECTION PROCESS; FOREGROUND REGIONS; FOREGROUND SEGMENTATION; GAUSSIAN MIXTURE MODEL; HISTOGRAM OF ORIENTED GRADIENTS; ILLUMINATION CONDITIONS; ILLUMINATION VARIATION; MORPHOLOGICAL OPERATIONS; MOTION DETECTION; REFINEMENT PHASE; ROBUST MOTION DETECTION; TEXTURE FEATURES;

DETECTOR CIRCUITS; GRAPHIC METHODS; IMAGE SEGMENTATION; MATHEMATICAL MORPHOLOGY; MECHATRONICS; OBJECT RECOGNITION; PIXELS; TEXTURES;

STATISTICAL METHODS;

EID: 77956212104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINDMA.2010.5538276     Document Type: Conference Paper

References (16)

1. C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, "Pfinder: real-time tracking of the human body," IEEE Trans. Pattern Analysis & Machine Intelligence, vo1.19, no.7, pp.780-785, July 1997.
2. T. Horprasert, D. Harwood, and L.S. Davis, "A statistical approach for real-time robust background subtraction and shadow detection," Proc. IEEE International Conference on Computer Vision, Frame Rate Workshop (ICCV 99), Kerkyra, Greece, Sept. 1999, pp.I-19.
3. C. Stauffer, and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vo1.22, no.8, pp.747-757, Aug. 2000.
4. L. Dar-Shyang, J.J. Hull, and B. Erol, "A Bayesian framework for Gaussian mixture background modeling," Proc. International Conference on Image Processing (IC1P 03), Barcelona, Spain, Sept. 2003, vol.2, pp.973-976, doi: 10. 1 109/ICIP.2003.1247409.
5. M. Heikkila, and M. Pietikainen, "A Texture-Based Method for Modeling the Background and Detecting Moving Objects," IEEE Trans. on Pattern Analysis & Machine Intelligence, vol.28, no.4, pp.657-662, Apr. 2006.
6. O. Javed, K. Shafique, and M. Shah, "A hierarchical approach to robust background subtraction using color and gradient information," Proc. IEEE Workshop on Motion and Video Computing, IEEE Press, Orlando, FL, USA, Dec. 2002, pp. 22-27, doi: 1O. 1 109IMOTION.2002. 1 182209.
7. K. Toyama, J. Krumm, B. Brumitt and B. Meyers, "Wallflower: Principles and practice of background maintenance," Proc. IEEE International Conference on Computer Vision (lCCV 99), IEEE Press, Kerkyra, Greece, Sept. 1999, vol.1, pp. 255-261, doi: 10. 1 109IICCV. 1999.791228.
8. A. Elgammal, R. Duraiswami, D. Harwood, and L. S. Davis, "Background and foreground modeling using nonparametric kernel density estimation for visual surveillance," Proceedings of the IEEE, vol.90, no.7, pp. 1151- 1163, July 2002.
9. K. Kyungnam, T.H. Chalidabhongse, D. Harwood, and L. Davis, "Background modeling and subtraction by codebook construction," Proc. International Conference on Image Processing (IC1P 04), Singapore, Oct. 2004, vol.5, pp.3061-3064, doi: 10. 1 I 09/ICIP.2004. 142 1 759.
10. M. Harville, "A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models," Proc. 7th European Conference on Computer Vision, Copenhagen, Denmark, May 2002, vol.3, pp.543-560.
11. M. Cristani, M. Bicego, and V. Murino, "Integrated region- and pixelbased approach to background modelling," Proc. IEEE Workshop on Motion and Video Computing, IEEE Press, Orlando, FL, USA, Dec. 2002, pp. 3-8, doi: 10. 1 109/MOTlON.2002. 1 182206.
12. K.A. Patwardhan, G. Sapiro, and V. Morellas, "Robust Foreground Detection in Video Using Pixel Layers," IEEE Trans. on Pattern Analysis & Machine Intelligence, vol.30, no.4, pp.746-751, Apr. 2008.
13. D. Toth, T. Aach, and V. Metzler, "Illumination-invariant change detection," Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, IEEE Press, Austin, TX, USA, Apr. 2000, pp.3-7, doi: 1O. 1 109/IA1.2000.83956 1.
14. T. Aach, L. Dumbgen, R. Mester, and D. Toth, "Bayesian illumination-invariant motion detection," Proc. International Conference on Image Processing (IC1P 0 1), vol. 3, Thessaloniki, Greece, Oct. 2001, pp. 640-643, doi: 10. 1l09IICIP.200 1.958200.
15. T. Kailath, "The divergence and Bhattacharyya distance measures in signal selection," IEEE Trans.communication Technology, vol. 15, no.1, pp. 52-60, Feb. 1967.
16. C. Rita, and G Costantino, "Improve shadows suppression in moving object detection with HSV color information," Proc. IEEE Intelligent Transportation Systems Conference (ITSC 0 1), IEEE Press, Oakland, CA, USA, Aug. 2001, pp.334-339, doi: 10. 1 109/ITSC.200 1.948679.