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Efficient implementation of background generation method based on pixel occurrences

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Języki publikacji
EN
Abstrakty
EN
The paper presents the implementation of modified background generation algorithm based on analysis of the frequency of occurrences of pixels. The proposed solution allows the use of the algorithm in real-time systems, which was quite difficult in the original method. The results show that the modified algorithm gives practically the same background as the original method but in significantly less time and can be applied in many tasks related to the detection and analysis of moving objects.
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Twórcy
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering, Laboratory of Biocybernetics
autor
  • AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatics and Biomedical Engineering, Laboratory of Biocybernetics
Bibliografia
  • [1] Z. Bubliński, P. Pawlik, Reduction of Pixel Occurrences in Background Updating, Image Processing & Communications, vol. 17, issue 4, pp. 45-50, 2013
  • [2] CodeAnalyst Performance Analyzer, http://developer.amd.com/tools-and-sdks/heterogeneouscomputing/amd-codeanalyst-performanceanalyzer/
  • [3] M. Ekinci, E. Gedikli, Silhouette Based Human Motion Detection and Analysis for Real-Time Automated Video Surveillance, Turk J Elec Engin, vol. 13, no. 2, pp. 199-229, 2005
  • [4] S.Y. Elhabian, K.M. El-Sayed, S.H. Ahmed, Moving object detection in spatial domain using background removal techniques, state-of-art. Recent Patents on Computer Science, vol. 1, pp. 32-54, 2008
  • [5] T. Kryjak, Analiza i testowanie algorytmów generacji tła na potrzeby systemu monitoringu przestrzeni publicznej, Automatyka, vol. 15, no. 3, pp. 177-196, 2011
  • [6] OpenCV, http://sourceforge.net/projects/opencvlibrary/
  • [7] J.R. Parker, Algorithms for Image Processing and Computer Vision,Wiley Computer Publishing, New York, 1997
  • [8] W.K. Pratt, Digital Image Processing, John Willey & Sons, Inc. , New York, 1991
  • [9] A. Shahbahrami, B. Juurlink , S. Vassiliadis, SIMD Vectorization of Histogram Functions, Proceedings of IEEE International Conference on Applicationspecific Systems, Architectures and Processors, pp. 174-179, 2007
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-64ff8d44-c6d3-4a2b-8dd1-d57f0b1ef54a
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