Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems

Vishnyakov, B.; Egorov, A.; Sidyakin, S.; Malin, I.; Vizilter, Y.

This paper considers a statistical approach to define pseudo-moving (false) objects in video surveillance systems by constructing systems of hypothesis with the criteria based on statistical behavioral particularities. The obtained results are integrated in two ways: using the Bayes’ theorem or the logistic regression. FAR-FRR curves are plotted for each system of hypothesis and also for the decision rule. The results of the proposed methods are obtained on test video databases.

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Vishnyakov, B. / Egorov, A. / Sidyakin, S. / et al: Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems. 2014. Copernicus Publications.

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