Detail publikace

Real-time Algorithms of Object Detection with Classifiers

JURÁNEK, R. HRADIŠ, M. ZEMČÍK, P.

Originální název

Real-time Algorithms of Object Detection with Classifiers

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

JURÁNEK, R.; HRADIŠ, M.; ZEMČÍK, P.

Rok RIV

2012

Vydáno

24. 3. 2012

Nakladatel

InTech - Open Access Publisher

Místo

Rijeka

ISBN

9789535105107

Kniha

Real-Time System

Strany od

1

Strany do

22

Strany počet

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"
}