Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
HEROUT, A.; JOŠTH, R.; JURÁNEK, R.; HAVEL, J.; HRADIŠ, M.; ZEMČÍK, P.
Originální název
Real-time object detection on CUDA
Anglický název
Druh
Článek recenzovaný mimo WoS a Scopus
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.
Anglický abstrakt
Klíčová slova
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
Klíčová slova v angličtině
Autoři
Rok RIV
2012
Vydáno
12.08.2011
ISSN
1861-8200
Periodikum
Journal of Real-Time Image Processing
Svazek
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" }