Faculty of Information Technology, BUT

Publication Details

Real-time object detection on CUDA

HEROUT Adam, JOŠTH Radovan, JURÁNEK Roman, HAVEL Jiří, HRADIŠ Michal and ZEMČÍK Pavel. Real-time object detection on CUDA. Journal of Real-Time Image Processing, vol. 2011, no. 3, pp. 159-170. ISSN 1861-8200.
Czech title
Detekce objektů v reálném čase na CUDA
Type
journal article
Language
english
Authors
URL
Keywords
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
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 6-89 for high-resolution videos using nVidia GeForce 9800GTX and Intel Core2 Duo E8200.
Published
2011
Pages
159-170
Journal
Journal of Real-Time Image Processing, vol. 2011, no. 3, ISSN 1861-8200
Publisher
Springer Verlag
BibTeX
@ARTICLE{FITPUB9393,
   author = "Adam Herout and Radovan Jo\v{s}th and Roman Jur\'{a}nek and Ji\v{r}\'{i} Havel and Michal Hradi\v{s} and Pavel Zem\v{c}\'{i}k",
   title = "Real-time object detection on CUDA",
   pages = "159--170",
   journal = "Journal of Real-Time Image Processing",
   volume = 2011,
   number = 3,
   year = 2011,
   ISSN = "1861-8200",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9393"
}
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