Faculty of Information Technology, BUT

Publication Details

Real-time Algorithms of Object Detection using Classifiers

JURÁNEK Roman, HRADIŠ Michal and ZEMČÍK Pavel. Real-time Algorithms of Object Detection with Classifiers. Real-Time System. Rijeka: InTech - Open Access Publisher, 2012, pp. 1-22. ISBN 9789535105107.
Czech title
Real-Time algoritmy pro detekci objektů pomocí klasifikátorů
Type
book chapter
Language
english
Authors
URL
Keywords
WaldBoost, Object Detection, Classification Cost, EnMS, Neighborhood Suppression, Acceleration, GPU, SIMD, FPGA
Abstract
Real-time object detection is currently expanding field of computer vision. One of most popular methods for the object detection is based on exploitation of statistical classifiers (namely those based on AdaBoost algorithm). This contribution presents methods for acceleration of object detection based on the AdaBoost. First it describes image pre-processing and the learning of classifiers. Finally, the contribution presents algorithmic accelerations of the detection process and effective implementations of classification on various architectures - CPU/SSE, GPGPU and FPGA. Accelerated detectors achieve high performance compared to state of the art solutions and are suitable for real-time applications.
Published
2012
Pages
1-22
Book
Real-Time System
ISBN
9789535105107
Publisher
InTech - Open Access Publisher
Place
Rijeka, HR
BibTeX
@INBOOK{FITPUB9883,
   author = "Roman Jur\'{a}nek and Michal Hradi\v{s} and Pavel Zem\v{c}\'{i}k",
   title = "Real-time Algorithms of Object Detection using Classifiers",
   pages = "1--22",
   booktitle = "Real-Time System",
   year = 2012,
   location = "Rijeka, HR",
   publisher = "InTech - Open Access Publisher",
   ISBN = "9789535105107",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9883"
}
Back to top