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Articles | Volume XL-3
Articles | Volume XL-3
https://doi.org/10.5194/isprsarchives-XL-3-351-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprsarchives-XL-3-351-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume XL-3
11 Aug 2014
 | 11 Aug 2014

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

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

Keywords: Outlier Objects, Pseudomoving Objects, Statistical Criteria, Bayesian Integration, Logistic Regression

Abstract. 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.

How to cite. Vishnyakov, B., Egorov, A., Sidyakin, S., Malin, I., and Vizilter, Y.: Statistical Model For Pseudo-Moving Objects Recognition In Video Surveillance Systems, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 351–356, https://doi.org/10.5194/isprsarchives-XL-3-351-2014, 2014.