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Description
  • 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.
  • 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. (en)
Title
  • Real-time object detection on CUDA
  • Real-time object detection on CUDA (en)
skos:prefLabel
  • Real-time object detection on CUDA
  • Real-time object detection on CUDA (en)
skos:notation
  • RIV/00216305:26230/11:PU89664!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC06008), S, Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 225864
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU89664
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [C9B08F0E0E45]
http://linked.open...i/riv/nazevZdroje
  • Journal of Real-Time Image Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Havel, Jiří
  • Herout, Adam
  • Juránek, Roman
  • Zemčík, Pavel
  • Jošth, Radovan
  • Hradiš, Michal
http://linked.open...n/vavai/riv/zamer
issn
  • 1861-8200
number of pages
http://localhost/t...ganizacniJednotka
  • 26230
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