Abstract
This paper proposes a novel foreground detection method which estimates the color changes in shadow regions by using a solar spectral model. In conventional method, since it is assumed that only brightness changes from background in shadow regions, shadow regions are extracted falsely as foreground in the case where color in the shadow region also changes in outdoor daytime environment. The proposed method estimates the color changes in shadow regions by calculating colors of direct and ambient illuminance which radiate to the captured scene using a solar spectral model. By estimating the color changes, the proposed method can robustly distinguish foreground and shadow regions in outdoor daytime environment. Experimental results demonstrate that the proposed method successfully estimates the changes of background color in shadow regions and improves F-measure of foreground detection compared with the conventional methods.
Chapter PDF
Similar content being viewed by others
Keywords
References
Bird, R.E., Riordan, C.: Simple Solar Spectral Model for Direct and Diffuse Irradiance on Horizontal and Tilted Planes at the Earth’s Surface for Cloudless Atmospheres. Journal of Climate and Applied Meteorology 25(1), 87–97 (1986)
Cavallaro, A., et al.: Shadow-aware object-based video processing. IEEE Proceedings on Vision, Image and Signal Processing 152(4), 398–406 (2005)
Cucchiara, R., et al.: Detecting Moving Objects, Ghosts, and Shadows in Video Streams. IEEE Transactions on Pattern Analysis and Machine intelligence 25(10), 1337–1342 (2003)
Hsieh, J.W., et al.: Shadow elimination for effective moving object detection by Gaussian shadow Modeling. Image and Vision Computing 21(6), 505–516 (2003)
Huang, J.B., Chen, C.S.: Moving cast shadow detection using physics-based features. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2310–2317 (2009)
Kaneko, E., et.al.: Daylight spectrum model under weather conditions from clear sky to cloudy. In: Proc. of ICPR, pp. 1438–1435 (2012)
Leone, A., Distante, C.: Shadow detection for moving objects based on texture analysis. Pattern Recognition 40(4), 1222–1233 (2007)
Nadimi, S., Bhanu, B.: Physical models for moving shadow and object detection in video. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(8), 1079–1087 (2004)
Piccadi, M.: Background subtraction techniques: a review. IEEE International Conference on Systems, Man and Cybernetics 4, 3099–3104 (2004)
Prati, A., et al.: Detecting moving shadows: algorithms and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(7), 918–923 (2003)
Sanin, A., Sanderson, C., Lovell, B.C.: Improved shadow removal for robust person tracking in surveillance scenarios. In: International Conference on Pattern Recognition, pp. 141–144 (2010)
Sanin, A., Sanderson, C., Lovell, B.C.: Shadow Detection: A Survey and Comparative Evaluation of Recent Methods. Pattern Recognition 45(4), 1684–1695 (2012)
Salvador, E., et al.: Cast shadow segmentation using invariant color features. Computer Vision and Image Understanding 95(2), 238–259 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Sato, A., Toda, M., Tsukada, M. (2015). Foreground Detection Robust Against Cast Shadows in Outdoor Daytime Environment. In: Murino, V., Puppo, E. (eds) Image Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science(), vol 9280. Springer, Cham. https://doi.org/10.1007/978-3-319-23234-8_60
Download citation
DOI: https://doi.org/10.1007/978-3-319-23234-8_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23233-1
Online ISBN: 978-3-319-23234-8
eBook Packages: Computer ScienceComputer Science (R0)
