TY  - CONF
AU  - Victor Borjas
AU  - Jordi Vitria
AU  - Petia Radeva
A2  - MVA
PY  - 2013//
TI  - Gradient Histogram Background Modeling for People Detection in Stationary Camera Environments
BT  - 13th IAPR Conference on Machine Vision Applications
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/BVR2013.pdf
N1  - OR; MILAB;MV
ID  - Victor Borjas2013
ER  -