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Proceedings Paper

Fast car/human classification methods in the computer vision tasks
Author(s): Boris V. Vishnyakov; Ivan K. Malin; Yuri V. Vizilter; Shih-Chia Huang; Sy-Yen Kuo
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Paper Abstract

In this paper we propose a method for classification of moving objects of “human” and “car” types in computer vision systems using statistical hypotheses and integration of the results using two different decision rules. FAR-FRR graphs for all criteria and the decision rule are plotted. Confusion matrix for both ways of integration is presented. The example of the method application to the public video databases is provided. Ways of accuracy improvement are proposed.

Paper Details

Date Published: 24 May 2013
PDF: 10 pages
Proc. SPIE 8791, Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, 87911L (24 May 2013); doi: 10.1117/12.2020149
Show Author Affiliations
Boris V. Vishnyakov, GosNIIAS, State Research Institute of Aviation Systems (Russian Federation)
Ivan K. Malin, GosNIIAS, State Research Institute of Aviation Systems (Russian Federation)
Yuri V. Vizilter, GosNIIAS, State Research Institute of Aviation Systems (Russian Federation)
Shih-Chia Huang, National Taipei Univ. of Technology (Taiwan)
Sy-Yen Kuo, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8791:
Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection
Fabio Remondino; Jürgen Beyerer; Fernando Puente León; Mark R. Shortis, Editor(s)

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