New object detection features in the OpenCV library

Authors:
P. N. Druzhkov;V. L. Erukhimov;N. Yu. Zolotykh;E. A. Kozinov;V. D. Kustikova;I. B. Meerov;A. N. Polovinkin
Affiliations:
Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950;Lobachevskii State University of Nizhni Novgorod, Nizhni Novgorod, Russia 603950
Venue:
Pattern Recognition and Image Analysis
Year:
2011

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Abstract

In this work the object detection problem is considered. A short description of implementations of the object detection system with a discriminatively trained part based model and a gradient boosting trees algorithm (as part of OpenCV library) is given. Application of the gradient boosting trees learner to the object detection problem (in terms of the pedestrian detection problem) is explored.