Publication detail

Real-time Algorithms of Object Detection with Classifiers

JURÁNEK, R. HRADIŠ, M. ZEMČÍK, P.

Original Title

Real-time Algorithms of Object Detection with Classifiers

Type

book chapter

Language

English

Original 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.

Keywords

WaldBoost, Object Detection, Classification Cost, EnMS, Neighborhood Suppression, Acceleration, GPU, SIMD, FPGA

Authors

JURÁNEK, R.; HRADIŠ, M.; ZEMČÍK, P.

RIV year

2012

Released

24. 3. 2012

Publisher

InTech - Open Access Publisher

Location

Rijeka

ISBN

9789535105107

Book

Real-Time System

Pages from

1

Pages to

22

Pages count

22

URL

http://www.intechopen.com/books/real-time-systems-architecture-scheduling-and-application

BibTex

@inbook{BUT91467,
  author="Roman {Juránek} and Michal {Hradiš} and Pavel {Zemčík}",
  title="Real-time Algorithms of Object Detection with Classifiers",
  booktitle="Real-Time System",
  year="2012",
  publisher="InTech - Open Access Publisher",
  address="Rijeka",
  pages="1--22",
  isbn="9789535105107",
  url="http://www.intechopen.com/books/real-time-systems-architecture-scheduling-and-application"
}