Journal article

 
Herout, A., Jošth, R., Juránek, R., Havel, J., Hradiš, M., Zemčík, P.: Real-time object detection on CUDA, In: Journal of Real-Time Image Processing , Vol. 2011, No. 3, DE, p. 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
Pages:159-170
Place:DE
Year:2011
Journal:Journal of Real-Time Image Processing , Vol. 2011, No. 3, DE
ISSN:1861-8200
URL:http://www.springerlink.com/content/n44j1g424487781k/fulltext.pdf [PDF]
Keywords
Object detection, Pattern recognition, Acceleration, CUDA, AdaBoost
Annotation
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.
BibTeX:
@ARTICLE{
   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},
   pages = {159--170},
   journal = {Journal of Real-Time Image Processing },
   volume = {2011},
   number = {3},
   year = {2011},
   ISSN = {1861-8200},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9393}
}