Abstract
Moving shadows constitute problems in various applications such as image segmentation and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, the cepstrum based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made.
This work is supported by European Commission Seventh Framework Program with EU Grant: 244088(FIRESENSE)
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Toreyin, B. U., Cetin, A. E.: Shadow Detection Using 2D Cepstrum. In: Proceedings of SPIE, the International Society for Optical Engineering, vol. 7338, pp 733809-733809-7 (2009)
Cucchiara, R., Grana, C., Piccardi, M., Prati, A.: Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information. In: Proceedings of the 11th International Conference on Image Analysis and Processing, pp. 360–365 (2001).
Cucchiara, R., Grana, C., Piccardi, M., Prati, A., Sirotti, S.: Improving Shadow Suppression in Moving Object Detection with HSV Color Information. In: Proceedings of IEEE International Conference on Intelligent Transportation Systems, pp. 334–339 (2001)
Chen, B.: Indoor and Outdoor People Detection and Shadow Suppression by Exploiting HSV Color Information. In: Proceedings of the The Fourth International Conference on Computer and Information Technology, pp. 137–142 (2004)
Jiang, C., Ward, M. O.: Shadow Identification. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 606–612 (1992)
Stauder, J., Mech, R., Ostermann, J.: Detection of Moving Cast Shadows for Object Segmentation. In: IEEE Transactions on Multimedia, vol. 1, no. 1, pp. 65–76 (1999)
Onoguchi, K.: Shadow Elimination Method for Moving Object Detection. In: Proceedings of Fourteenth International Conference on Pattern Recognition. vol. 1. pp. 583–587 (1998)
Sonoda, Y., Ogata, T.: Seperation of Moving Objects and Their Shadows, and Their Application to Tracking on the Loci in the Monitoring Images. Proceedings of Fourth International Conference on Signal Processing, vol. 2, pp. 1261–1264 (1998)
Prati, A., Mikic, I., Grana, C., Trivedi M. M.: Shadow Detection Algorithms for Tra±c Flow Analysis: A Comparative Study. In: Proceedings of IEEE International Conference on Intelligent Transportation Systems, pp. 340–345 (2001)
Prati, A., Mikic, C., Trivedi, M. M., Cucchiara, R.: Detecting Moving Shadows: Algorithms and Evaluation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 7, pp. 918–923 (2003)
Prati, A., Cucchiara, R., Mikic, C., Trivedi, M. M.: Analysis and Detection of Shadows in Video Streams: a Comparitive Evaluation. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 571–576 (2001)
Colins, R., Lipton, A., Kanade, T.: A System for Video Surveillance and Monitoring. 8-th Int Topical Meeting on robotics and remote systems, American Nuclear Society, (1999)
Joshi, A., Atev, S., Masoud, O., Papanikopoulos, N.: Moving Shadow Detection with Low- and Mid-Level Reasoning. In: Proceedings of IEEE International Conference on Robotics and Automation, (2007)
Video Surveillance Online Repository, http://www.openvisor.org
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Cogun, F., Cetin, A.E. (2011). Cepstrum Based Method for Moving Shadow Detection in Video. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_57
Download citation
DOI: https://doi.org/10.1007/978-90-481-9794-1_57
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9793-4
Online ISBN: 978-90-481-9794-1
eBook Packages: EngineeringEngineering (R0)