MULTI DIMENSIONAL DYNAMIC SCENE ANALYSIS USING 3D IMAGE HISTOGRAM AND ENTROPY SEQUENCES ANALYSIS

Authors

  • Panayot Iliev
  • Plamen Tzvetkov
  • George Petrov

DOI:

https://doi.org/10.47839/ijc.6.1.422

Keywords:

Motion estimation, detection, modeling

Abstract

This paper presents an unconventional approach for motion detection using 3D image histogram sequence analysis. The idea of this approach is to remove the process of motion estimation into the field of 3D image histogram sequences by analysis of their statistical characteristics. A functional and statistical model of a system for motion detection has been created. The experimental results prove that the relationship between statistical characteristics of the 3D image histograms sequences and process of motion estimation is a guarantee for creating a reliable and high precision motion detection system as well as for image compression using 3D entropy functions analysis. Such a system can be used for security control of banks, airports, military objects, embassies, shops etc.

References

T. Huang, Image Sequence Analysis, Springer, Berlin, 1981.

T. Huang, Sequence Processing and Dynamic Scene Analysis, NATO ASI Series, Springer, Berlin, 1983.

P. Iliev and L. Tsekov, “Motion Detection Using Image Histogram Sequence Analysis, Signal Processing, vol. 30, Elsevier Science Publisher B. V., 1993, pp 373-384.

P. Iliev, Tzvetkov P., Petrov G., Proceedings of the Third IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS’2005, Sofia, Bulgaria, September 5-7, 2005, pp.596-601.

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Published

2014-08-01

How to Cite

Iliev, P., Tzvetkov, P., & Petrov, G. (2014). MULTI DIMENSIONAL DYNAMIC SCENE ANALYSIS USING 3D IMAGE HISTOGRAM AND ENTROPY SEQUENCES ANALYSIS. International Journal of Computing, 6(1), 35-43. https://doi.org/10.47839/ijc.6.1.422

Issue

2007, Volume 6, Issue 1

Section

Articles

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