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HEROUT, A.; JOŠTH, R.; JURÁNEK, R.; HAVEL, J.; HRADIŠ, M.; ZEMČÍK, P.
Original Title
Real-time object detection on CUDA
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original 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.
English abstract
Keywords
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
Key words in English
Authors
RIV year
2012
Released
12.08.2011
ISBN
1861-8200
Periodical
Journal of Real-Time Image Processing
Volume
2011
Number
3
State
Federal Republic of Germany
Pages from
159
Pages to
170
Pages count
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" }