Journal article

HEROUT Adam, JOŠTH Radovan, JURÁNEK Roman, HAVEL Jiří, HRADIŠ Michal and ZEMČÍK Pavel. Real-time object detection on CUDA. Journal of Real-Time Image Processing. 2011, vol. 2011, no. 3, pp. 159-170. ISSN 1861-8200.
Publication language:english
Original title:Real-time object detection on CUDA
Title (cs):Detekce objektů v reálném čase na CUDA
Journal:Journal of Real-Time Image Processing, Vol. 2011, No. 3, DE
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
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.
   author = {Adam Herout and Radovan Jo{\v{s}}th and Roman Jur{\'{a}}nek
	and Ji{\v{r}}{\'{i}} Havel and Michal Hradi{\v{s}} and Pavel
   title = {Real-time object detection on CUDA},
   pages = {159--170},
   journal = {Journal of Real-Time Image Processing},
   volume = {2011},
   number = {3},
   year = {2011},
   ISSN = {1861-8200},
   language = {english},
   url = {}

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