Video Foreground/Background Segmentation using Spatially Distributed Model and Edge-based Shadow Cancellation
Shian-De Tsai, Jin-Jang Leou, Han-Hui Hsiao
2012
Abstract
Video foreground/background segmentation is to extract relevant objects (the foreground) from the background of a video sequence, which is an important step in many computer vision applications. In this study, the spatially distributed model is built by a splitting process using Gaussian probability distribution functions in spatial and color spaces. Then, edge-based shadow cancellation is employed to obtain more robust segmentation results. The proposed approach can well handle illumination variations, shadow effect, and dynamic scenes in video sequences. Based on experimental results obtained in this study, as compared with two comparison approaches, the proposed approach provides the better video segmentation results.
References
- Adam, R. and Bischof, L., 1994. Seeded region growing. IEEE Trans. on Pattern Analysis and Machine Intelligence, 16(6), 641-647.
- Boley, D., 1998. Principle direction devisive partitioning. Data Mining and Knowledge Discovery, 2(4), 325-344.
- Canny, J. F., 1986. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(11), 679-698.
- Dickinson, P., Hunter, A., and Appiah, K., 2009. A spatially distributed model for foreground segmentation. Image and Vision Computing, 27(9), 1326-1335.
- Haralick, R. M. and Shapiro, L. G., 1992. Reading, MA: Addision-Wesley. Computer and Robot Vision, 28-48.
- Heikkila, M., Pietikainen, M., and Member, S., 2006. A texture-based method for modeling the background and detecting moving objects. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(4), 657-662.
- Kim, C. and Hwang, J. N., 2002. Fast and automatic video object segmentation and tracking for content-based applications. IEEE Trans. on Circuits and Systems for Video Technol., 12(2), 122-129.
- Li, L. et al., 2004. Statistical modeling of complex backgrounds for foreground object detection. IEEE Trans. on Image Process., 13(11), 1459-1472.
- Maddalena, L. and Petrosino, A., 2008. A self-organizing approach to background subtraction for visual surveillance applications. IEEE Trans. on Image Process., 17(7), 1168-1177.
- Mezaris, V., Kompatsiaris, I., and Strintzis, M. G., 2004. Video object segmentation using Bayes-based temporal tracking and trajectory-based region merging. IEEE Trans. on Circuits and Systems for Video Technol., 14(6), 782-795.
- Rosin, P. and Ioannidism, E., 2003. Evaluation of global image thresholding for change detection. Pattern Recognition Letters, 24(14), 2345-2356.
- Toyama, K., Krumm, J., Brumitt, B., and Meyers, B., 1999. Wallflower: principles and practice of background maintenance. in Proc. of IEEE Int. Conf. on Computer Vision, 255-261.
- Tsaig, Y. and Averbuch, A., 2002. Automatic segmentation of moving objects in video sequences: a region labeling approach. IEEE Trans. on Circuits and Systems for Video Technol., 12(7), 597-612.
- Wang, W., Yang, J., and Gao, W., 2008. Modeling background and segmenting moving objects from compressed video. IEEE Trans. on Circuits and Systems for Video Technol., 18(5), 670-681.
- Wang, Y. et al., 2005. Spatiotemporal video segmentation based on graphical models. IEEE Trans. on Image Process., 14(7), 937-947.
- Zhang, S. et al., 2008. A covariance-based method for dynamic background subtraction. in Proc. of IEEE Int. Conf. on Pattern Recognition, 1-4.
Paper Citation
in Harvard Style
Tsai S., Leou J. and Hsiao H. (2012). Video Foreground/Background Segmentation using Spatially Distributed Model and Edge-based Shadow Cancellation . In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 89-95. DOI: 10.5220/0004069600890095
in Bibtex Style
@conference{sigmap12,
author={Shian-De Tsai and Jin-Jang Leou and Han-Hui Hsiao},
title={Video Foreground/Background Segmentation using Spatially Distributed Model and Edge-based Shadow Cancellation},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)},
year={2012},
pages={89-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004069600890095},
isbn={978-989-8565-25-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)
TI - Video Foreground/Background Segmentation using Spatially Distributed Model and Edge-based Shadow Cancellation
SN - 978-989-8565-25-9
AU - Tsai S.
AU - Leou J.
AU - Hsiao H.
PY - 2012
SP - 89
EP - 95
DO - 10.5220/0004069600890095