Open AccessMULTI DIMENSIONAL DYNAMIC SCENE ANALYSIS USING 3D IMAGE HISTOGRAM AND ENTROPY SEQUENCES ANALYSIS
Author(s) -
Panayot Iliev,
Plamen Tzvetkov,
Георги Петров
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.6.1.422
Subject(s) - histogram , artificial intelligence , computer vision , computer science , entropy (arrow of time) , motion analysis , motion estimation , pattern recognition (psychology) , motion field , image (mathematics) , physics , quantum mechanics
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.