Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 351-356, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/351/2014/
doi:10.5194/isprsarchives-XL-3-351-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
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 State Research Institute of Aviation Systems (FGUP GosNIIAS), Moscow, Russia
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.
Conference paper (PDF, 564 KB)


Citation: 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, doi:10.5194/isprsarchives-XL-3-351-2014, 2014.

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