Monte Carlo Based Algorithm for Fast Preliminary Video Analysis

Authors:
Krzysztof Okarma;Piotr Lech
Affiliations:
Faculty of Electrical Engineering, Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, Szczecin, Poland 71-126;Faculty of Electrical Engineering, Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, Szczecin, Poland 71-126
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

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Abstract

In the paper a fast statistical image processing algorithm for video analysis is presented. Our method can be used on colour as well as grayscale or even binary images. The main component of the proposed approach is based on statistical analysis using the Monte Carlo method. A video's statistical information is acquired by specifying a logical condition for the Monte Carlo technique. The results of the algorithm depend on the correct choice of threshold values; thus the application area is limited by the adaptability of the thresholds to videos with large heterogeneity: e.g. videos with objects moving into and out of the scene, rapidly varying illumination, etc.