Geodesic
Tracking of objects containing multiple concentric arcs in a video stream, optimized with Fast Hough Transform
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2015), pp. 56-68.

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The paper proposes a method for tracking of objects containing multiple concentric arcs in a video stream, based on structure tensor analysis and a voting scheme in the arcs centers space. Proposed method was used to implement a wheel tracking system for the Automatic Vehicle Classification System. Algorithm is based on an assumption of axial symmetry of the object. The algorithm is optimized with Fast Hough Transform. Numerical experiments are presented to evidence the efficiency of the method.
Keywords: visual intellect, tracking of objects in video stream, structure tensor, Fast Hough Transform. 
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     author = {A. A. Kotov and I. A. Konovalenko and D. P. Nikolaev},
     title = {Tracking of objects containing multiple concentric arcs in a video stream, optimized with {Fast} {Hough} {Transform}},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {56--68},
     publisher = {mathdoc},
     number = {1},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2015_1_a5/}
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A. A. Kotov; I. A. Konovalenko; D. P. Nikolaev. Tracking of objects containing multiple concentric arcs in a video stream, optimized with Fast Hough Transform. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2015), pp. 56-68. http://geodesic.mathdoc.fr/item/ITVS_2015_1_a5/