Extracting Human Body based on Background Estimation in Modified HLS Color Space
The ability to recognize humans and their activities by computer vision is a very important task, with many potential application. Study of human motion analysis is related to several research areas of computer vision such as the motion capture, detection, tracking and segmentation of people. In this paper, we describe a segmentation method for extracting human body contour in modified HLS color space. To estimate a background, the modified HLS color space is proposed, and the background features are estimated by using the HLS color components. Here, the large amount of human dataset, which was collected from DV cameras, is pre-processed. The human body and its contour is successfully extracted from the image sequences.
[1] D. M. Gavrila, "The Visual Analysis of Human Movement: A Survey,"
Computer Vision and Image Understanding, 73(1), pp.82-98, Jan. 1999.
[2] I. I. Koprinska and S. Carrato, "Temporal Video Segmentation: A
Survey," Signal Processing: Image Communication, 16(5), pp.477-500,
Jan. 2001.
[3] T. Horprasert, D. Harwood, and L. S. Davis, "A Statistical Approach for
Real-Time Robust Background Subtraction and Shadow Detection," in
Proceedings of IEEE International Conference on Computer Vision:
Frame-Rate Workshop, Kerkyra, Greece, Sep. 1999.
[4] H. Fujiyoshi and A. J. Lipton, "Real-Time Human Motion Analysis by
Skeletonization," in Proceedings of IEEE Workshop on Application of
Computer Vision, pp.15-21, Princeton, NJ, USA, Oct. 1988.
[5] A. Neri, S. Colonnese, G. Russo, and P. Talone, "Automatic Moving
Object and Background Separation," Signal Processing, 66(2),
pp.219-232, Apr.1998.
[6] C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, "Pfinder:
Real-Time Tracking of the Human Body," IEEE Transactions on Pattern
Analysis and Machine Intelligence, 19(7), pp.780-785, Jul. 1997.
[7] J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter, "On a Large
Sequence-based Human Gait Database," in Proceedings of Recent
Advances in Soft Computing, pp.66-71, Nottingham, UK, Dec. 2002.
[8] G. Gordon, T. Darrell, M. Harville, and J. Woodfill, "Background
Estimation and Removal based on Range and Color," in Proceedings of
IEEE Conference on Computer Vision and Pattern Recognition, Vol.2,
pp.2459-2464, Fort Collins, CO., USA, Jun. 1999.
[9] C. A. Poynton, "Frequently Asked Questions about Color,"
http://www.poynton.com/notes/colour_and_gamma/ColorFAQ.txt,
1998.
[10] J. D. Foley, A. Van Dam, S. K. Feiner, and J. F. Hughes, Computer
Graphics: Principles and Practice, Addition-Wesley, 1990.
[11] T. Q. Chen and Y. Lu, "Color Image Segmentation-An Innovative
Approach," Pattern Recognition, 35(2), pp.395-405, Feb. 2002.
[12] J. H. Yoo, D. S. Hwang, K. Y. Moon, and M.S. Nixon, "Automated
Human Recognition by Gait using Neural Network," inProceedings of
IEEE International Workshops on Image Processing Theory, Tool and
Applications, Sousse, pp.362-367, Tunisia, Nov. 2008.
[1] D. M. Gavrila, "The Visual Analysis of Human Movement: A Survey,"
Computer Vision and Image Understanding, 73(1), pp.82-98, Jan. 1999.
[2] I. I. Koprinska and S. Carrato, "Temporal Video Segmentation: A
Survey," Signal Processing: Image Communication, 16(5), pp.477-500,
Jan. 2001.
[3] T. Horprasert, D. Harwood, and L. S. Davis, "A Statistical Approach for
Real-Time Robust Background Subtraction and Shadow Detection," in
Proceedings of IEEE International Conference on Computer Vision:
Frame-Rate Workshop, Kerkyra, Greece, Sep. 1999.
[4] H. Fujiyoshi and A. J. Lipton, "Real-Time Human Motion Analysis by
Skeletonization," in Proceedings of IEEE Workshop on Application of
Computer Vision, pp.15-21, Princeton, NJ, USA, Oct. 1988.
[5] A. Neri, S. Colonnese, G. Russo, and P. Talone, "Automatic Moving
Object and Background Separation," Signal Processing, 66(2),
pp.219-232, Apr.1998.
[6] C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, "Pfinder:
Real-Time Tracking of the Human Body," IEEE Transactions on Pattern
Analysis and Machine Intelligence, 19(7), pp.780-785, Jul. 1997.
[7] J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter, "On a Large
Sequence-based Human Gait Database," in Proceedings of Recent
Advances in Soft Computing, pp.66-71, Nottingham, UK, Dec. 2002.
[8] G. Gordon, T. Darrell, M. Harville, and J. Woodfill, "Background
Estimation and Removal based on Range and Color," in Proceedings of
IEEE Conference on Computer Vision and Pattern Recognition, Vol.2,
pp.2459-2464, Fort Collins, CO., USA, Jun. 1999.
[9] C. A. Poynton, "Frequently Asked Questions about Color,"
http://www.poynton.com/notes/colour_and_gamma/ColorFAQ.txt,
1998.
[10] J. D. Foley, A. Van Dam, S. K. Feiner, and J. F. Hughes, Computer
Graphics: Principles and Practice, Addition-Wesley, 1990.
[11] T. Q. Chen and Y. Lu, "Color Image Segmentation-An Innovative
Approach," Pattern Recognition, 35(2), pp.395-405, Feb. 2002.
[12] J. H. Yoo, D. S. Hwang, K. Y. Moon, and M.S. Nixon, "Automated
Human Recognition by Gait using Neural Network," inProceedings of
IEEE International Workshops on Image Processing Theory, Tool and
Applications, Sousse, pp.362-367, Tunisia, Nov. 2008.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60720", author = "Jang-Hee Yoo and Doosung Hwang and Jong-Wook Han and Ki-Young Moon", title = "Extracting Human Body based on Background Estimation in Modified HLS Color Space", abstract = "The ability to recognize humans and their activities by computer vision is a very important task, with many potential application. Study of human motion analysis is related to several research areas of computer vision such as the motion capture, detection, tracking and segmentation of people. In this paper, we describe a segmentation method for extracting human body contour in modified HLS color space. To estimate a background, the modified HLS color space is proposed, and the background features are estimated by using the HLS color components. Here, the large amount of human dataset, which was collected from DV cameras, is pre-processed. The human body and its contour is successfully extracted from the image sequences.
", keywords = "Background Subtraction, Human Silhouette Extraction, HLS Color Space, and Object Segmentation", volume = "3", number = "11", pages = "2153-4", }
