Detail publikace

Real-time object detection on CUDA

HEROUT, A. JOŠTH, R. JURÁNEK, R. HAVEL, J. HRADIŠ, M. ZEMČÍK, P.

Originální název

Real-time object detection on CUDA

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost

Autoři

HEROUT, A.; JOŠTH, R.; JURÁNEK, R.; HAVEL, J.; HRADIŠ, M.; ZEMČÍK, P.

Rok RIV

2011

Vydáno

12. 8. 2011

ISSN

1861-8200

Periodikum

Journal of Real-Time Image Processing

Ročník

2011

Číslo

3

Stát

Spolková republika Německo

Strany od

159

Strany do

170

Strany počet

12

URL

http://www.springerlink.com/content/n44j1g424487781k/fulltext.pdf

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"
}