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Video Processing: Foreground Recognition in the ASVP Platform

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Smart Multicore Embedded Systems

Abstract

Current video surveillance systems belong to two classes based on two technology concepts. The first and older concept is based on analog video systems that have been widely used up till now. The second more recent concept is based on the IP network technology, which enables much more variability in configuration and communication among all components connected in a network.

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References

  1. D. F. Real and F. Berry, “Smart Cameras: Technologies and Applications,” in Smart Cameras, A. N. Belbachir, Ed. Springer US, 2010, pp. 35–50.

    Google Scholar 

  2. J. Sýkora, L. Kohout, R. Bartosiński, L. Kafka, M. Daněk, and P. Honzík, “The Architecture and the Technology Characterization of an FPGA-based Customizable Application-Specific Vector Processor,” in Proceedings of the 2012 IEEE 15th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, ser. DDECS ’12. IEEE, 2012, pp. 62–67.

    Google Scholar 

  3. J. Sýkora, L. Kohout, R. Bartosiński, L. Kafka, M. Daněk, and P. Honzík, “Reducing Instruction Issue Overheads in Application Specific Vector Processors,” in Proceedings of the 15th Euromicro Conference on Digital System Design, ser. DSD ’12. IEEE Computer Society, 2012, pp. 600–607.

    Google Scholar 

  4. G. Jing, C. E. Siong, and D. Rajan, “Foreground motion detection by difference-based spatial temporal entropy image,” in TENCON 2004. 2004 IEEE Region 10 Conference, vol. A, 2004, pp. 379–382 Vol. 1. [Online]. Available: http://dx.doi.org/10.1109/TENCON.2004.1414436

  5. L. Li, W. Huang, I. Y. H. Gu, and Q. Tian, “Foreground object detection from videos containing complex background,” in Proceedings of the eleventh ACM international conference on Multimedia, ser. MULTIMEDIA ’03. New York, NY, USA: ACM, 2003, pp. 2–10. [Online]. Available: http://doi.acm.org/10.1145/957013.957017

  6. M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision, 2nd ed. Chapman & Hall, 1998.

    Google Scholar 

  7. S. Rixner, W. J. Dally, U. J. Kapasi, B. Khailany, A. López-Lagunas, P. R. Mattson, and J. D. Owens, “A bandwidth-efficient architecture for media processing,” in Proceedings of the 31st annual ACM/IEEE international symposium on Microarchitecture, ser. MICRO 31. Los Alamitos, CA, USA: IEEE Computer Society Press, 1998, pp. 3–13. [Online]. Available: http://dl.acm.org/citation.cfm?id=290940.290946

  8. P. Kaewtrakulpong and R. Bowden, “An Improved Adaptive Background Mixture Model for Realtime Tracking with Shadow Detection,” 2001.

    Google Scholar 

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Correspondence to Petr Honzík .

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Honzík, P., Bartosiński, R., Daněk, M., Kafka, L., Kohout, L., Sýkora, J. (2014). Video Processing: Foreground Recognition in the ASVP Platform. In: Torquati, M., Bertels, K., Karlsson, S., Pacull, F. (eds) Smart Multicore Embedded Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8800-2_9

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  • DOI: https://doi.org/10.1007/978-1-4614-8800-2_9

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