Book chapter

 
Juránek, R., Hradiš, M., Zemčík, P.: Real-time Algorithms of Object Detection with Classifiers, Real-Time System, Rijeka, HR, InTech, 2012, p. 1-22, ISBN 9789535105107
Publication language:english
Original title:Real-time Algorithms of Object Detection using Classifiers
Title (cs):Real-Time algoritmy pro detekci objektů pomocí klasifikátorů
Pages:1-22
Book:Real-Time System
Place:Rijeka, HR
Year:2012
ISBN:9789535105107
Publisher:InTech - Open Access Publisher
URL:http://www.intechopen.com/books/real-time-systems-architecture-scheduling-and-application [PDF]
Keywords
WaldBoost, Object Detection, Classification Cost, EnMS, Neighborhood Suppression, Acceleration, GPU, SIMD, FPGA
Annotation
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.
BibTeX:
@INBOOK{
   author = {Roman Juránek and Michal Hradiš and Pavel Zemčík},
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=9883}
}