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Center-surround contrast features for pedestrian detection

: Zhang, S.; Klein, D.A.; Bauckhage, C.; Cremers, A.B.


Institute of Electrical and Electronics Engineers -IEEE-; International Association for Pattern Recognition -IAPR-:
ICPR 2014, 22nd International Conference on Pattern Recognition. Vol.3 : 24-28 August 2014, Stockholm, Sweden; Proceedings
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-5208-3
ISBN: 978-1-4799-5210-6
International Conference on Pattern Recognition (ICPR) <22, 2014, Stockholm>
Fraunhofer IAIS ()

Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction fashion between each central cell and its neighbors and boost the significant ones for pedestrian detection. Experimental results on the INRIA and Caltech pedestrian datasets show that our method achieves state-of-the-art performance.