Publication detail
Real-time object detection on CUDA
HEROUT, A. JOŠTH, R. JURÁNEK, R. HAVEL, J. HRADIŠ, M. ZEMČÍK, P.
Original Title
Real-time object detection on CUDA
English Title
Real-time object detection on CUDA
Type
journal article - other
Language
en
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
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.
Keywords
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
RIV year
2011
Released
12.08.2011
Publisher
NEUVEDEN
Location
NEUVEDEN
ISBN
1861-8200
Periodical
Journal of Real-Time Image Processing
Year of study
2011
Number
3
State
DE
Pages from
159
Pages to
170
Pages count
12
URL
Documents
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",
annote="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.",
address="NEUVEDEN",
chapter="50548",
edition="NEUVEDEN",
howpublished="print",
institution="NEUVEDEN",
number="3",
volume="2011",
year="2011",
month="august",
pages="159--170",
publisher="NEUVEDEN",
type="journal article - other"
}