Real-time object detection on CUDA |
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Authors: | Adam Herout Radovan Jo?th Roman Jur��nek Ji?�� Havel Michal Hradi? Pavel Zem?��k |
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Affiliation: | (1) Graph@FIT, Brno University of Technology, Bozetechova 2, 616 00 Brno, Czech Republic |
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Abstract: | The aim of the research described in this article is to accelerate object detection in images and video sequences using graphics
processors. It includes algorithmic modifications and adjustments of existing detectors, constructing variants of efficient
implementations and evaluation comparing with efficient implementations on the CPUs. This article focuses on detection by
statistical classifiers based on boosting. The implementation and the necessary algorithmic alterations are described, followed
by experimental measurements of the created object detector and discussion of the results. The final solution outperforms
the reference efficient CPU/SSE implementation, by approximately 6–8× for high-resolution videos using nVidia GeForce 9800GTX
and Intel Core2 Duo E8200. |
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Keywords: | |
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