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Cepstrum Based Method for Moving Shadow Detection in Video

  • Fuat Cogun
  • A. Enis Cetin
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 62)

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.

Keywords

Shadow Region Shadow Detection Move Object Detection Object Pixel Shadow Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    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)Google Scholar
  2. 2.
    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).Google Scholar
  3. 3.
    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)Google Scholar
  4. 4.
    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)Google Scholar
  5. 5.
    Jiang, C., Ward, M. O.: Shadow Identification. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 606–612 (1992)Google Scholar
  6. 6.
    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)CrossRefGoogle Scholar
  7. 7.
    Onoguchi, K.: Shadow Elimination Method for Moving Object Detection. In: Proceedings of Fourteenth International Conference on Pattern Recognition. vol. 1. pp. 583–587 (1998)Google Scholar
  8. 8.
    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)Google Scholar
  9. 9.
    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)Google Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    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)Google Scholar
  12. 12.
    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)Google Scholar
  13. 13.
    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)Google Scholar
  14. 14.
    Video Surveillance Online Repository, http://www.openvisor.org

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Bilkent UniversityAnkaraTurkey

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