%0 Conference Proceedings
%T Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments
%A Victor Borjas
%A Jordi Vitria
%A Petia Radeva
%B 13th IAPR Conference on Machine Vision Applications
%D 2013
%F Victor Borjas2013
%O OR; MILAB;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2238), last updated on Thu, 10 Nov 2016 11:56:13 +0100
%X Best Poster AwardOne of the big challenges of today person detectors is the decreasing of the false positive rate. In this paper, we propose a novel framework to customize person detectors in static camera scenarios in order to reduce this rate. This scheme includes background modeling for subtraction based on gradient histograms and Mean-Shift clustering. Our experiments show that the detection improved compared to using only the output from the pedestrian detector reducing 87% of the false positives and therefore the overall precision of the detectionwas increased signicantly.
%U http://refbase.cvc.uab.es/files/BVR2013.pdf