Fast human/car classification methods in the computer vision tasks
Journal
Proceedings of SPIE - The International Society for Optical Engineering
Journal Volume
8791
Date Issued
2013
Author(s)
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.
SDGs
Type
conference paper