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Detail publikačního výsledku
JURÁNEK, R.; HRADIŠ, M.; ZEMČÍK, P.
Originální název
Real-time Algorithms of Object Detection using Classifiers
Anglický název
Druh
Kapitola, resp. kapitoly v odborné knize
Originální abstrakt
Real-time objectdetection is currently expanding field of computer vision. One ofmost popular methods for the object detection is based onexploitation of statistical classifiers (namely those based onAdaBoost algorithm). This contribution presents methods foracceleration of object detection based on the AdaBoost. First itdescribes image pre-processing and the learning of classifiers.Finally, the contribution presents algorithmic accelerations of thedetection process and effective implementations of classification onvarious architectures - CPU/SSE, GPGPU and FPGA. Accelerateddetectors achieve high performance compared to state of the artsolutions and are suitable for real-time applications.
Anglický abstrakt
Klíčová slova
WaldBoost, Object Detection, Classification Cost, EnMS, Neighborhood Suppression, Acceleration, GPU, SIMD, FPGA
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
24.03.2012
Nakladatel
InTech - Open Access Publisher
Místo
Rijeka
ISBN
9789535105107
Kniha
Real-Time System
Strany od
1
Strany do
22
Strany počet
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 using 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" }