Geodesic
Construction of robust features for detection and classification of objects
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2014), pp. 53-60 Cet article a éte moissonné depuis la source Math-Net.Ru

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The paper describes a new class of feature for object detection and classification in images. These features are shown to be robust to significant illumination changes. The performance of the proposed method is studied on the modified Viola-Jones algorithm as applied to vehicle axle detection and embossed number recognition tasks.
Keywords: computer vision, object detection, robust features, Viola-Jones algorithm. 
@article{ITVS_2014_1_a5,
     author = {S. A. Gladilin and A. A. Kotov and D. P. Nikolaev and S. A. Usilin},
     title = {Construction of robust features for detection and classification of objects},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {53--60},
     year = {2014},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2014_1_a5/}
}
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S. A. Gladilin; A. A. Kotov; D. P. Nikolaev; S. A. Usilin. Construction of robust features for detection and classification of objects. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2014), pp. 53-60. http://geodesic.mathdoc.fr/item/ITVS_2014_1_a5/