Publication Details

Real-time object detection on CUDA

HEROUT, A.; JOŠTH, R.; JURÁNEK, R.; HAVEL, J.; HRADIŠ, M.; ZEMČÍK, P. Real-time object detection on CUDA. Journal of Real-Time Image Processing, 2011, vol. 2011, no. 3, p. 159-170. ISSN: 1861-8200.
Czech title
Detekce objektů v reálném čase na CUDA
Type
journal article
Language
English
Authors
Herout Adam, prof. Ing., Ph.D. (DCGM)
Jošth Radovan, Ing., Ph.D.
Juránek Roman, Ing., Ph.D. (DCGM)
Havel Jiří, Ing., Ph.D. (CM-SFE)
Hradiš Michal, Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
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
BibTeX 
@article{BUT50548,
  author="Adam {Herout} and Radovan {Jošth} and Roman {Juránek} and Jiří {Havel} and Michal {Hradiš} and Pavel {Zemčík}",
  title="Real-time object detection on CUDA",
  journal="Journal of Real-Time Image Processing",
  year="2011",
  volume="2011",
  number="3",
  pages="159--170",
  issn="1861-8200",
  url="http://www.springerlink.com/content/n44j1g424487781k/fulltext.pdf"
}
Back to top