SVM-BASED HUMAN DETECTION COMBINING SELF-QUOTIENT ε-FILTER AND HISTOGRAMS OF ORIENTED GRADIENTS

Mitsuharu Matsumoto

Abstract

This paper describes a noise robust SVM-based human detection combining self-quotient ε-filter (SQEF) and histograms of oriented gradients (HOG). Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. To handle noise corrupted images, we introduce self-quotient ε-filter (SQEF), and implement it in human detection combining HOG and SVM. SQEF is an advanced self-quotient filter (SQF), and can clearly extract features from the images not only when they have illumination variations but also when they are corrupted with noise. The new approach gives a robust human detection from noise corrupted images using the data trained by intact images without noise.

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Paper Citation


in Harvard Style

Matsumoto M. (2010). SVM-BASED HUMAN DETECTION COMBINING SELF-QUOTIENT ε-FILTER AND HISTOGRAMS OF ORIENTED GRADIENTS . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 241-245. DOI: 10.5220/0003055002410245


in Bibtex Style

@conference{icnc10,
author={Mitsuharu Matsumoto},
title={SVM-BASED HUMAN DETECTION COMBINING SELF-QUOTIENT ε-FILTER AND HISTOGRAMS OF ORIENTED GRADIENTS},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={241-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003055002410245},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - SVM-BASED HUMAN DETECTION COMBINING SELF-QUOTIENT ε-FILTER AND HISTOGRAMS OF ORIENTED GRADIENTS
SN - 978-989-8425-32-4
AU - Matsumoto M.
PY - 2010
SP - 241
EP - 245
DO - 10.5220/0003055002410245