Low-Level Image Features for Real-Time Object Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89484" target="_blank" >RIV/00216305:26230/10:PU89484 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Low-Level Image Features for Real-Time Object Detection

Popis výsledku v původním jazyce

The main aim of the chapter is to provide information about the Local Rank Patterns image feature: Its background, mathematical definition, evaluation of its performance and notes on its implementation and use in object detectors. Implementations on theMMX, SSE, FPGA (programmable hardware), GPU (Cg) and CUDA platforms are described and experimentally evaluated. The performance of the image feature is evaluated within the WaldBoost classifier on the task of face detection, and it is compared to the commonly used Haar wavelets, local binary patterns and other low level features. The Local Rank Patterns feature seems suitable for hardware acceleration both directly by programmable or hard-wired hardware, but also by processors supporting different setsof the SIMD instructions. It is shown, that the LRP feature is an important alternative for construction of fast object detectors.

Název v anglickém jazyce

Low-Level Image Features for Real-Time Object Detection

Popis výsledku anglicky

The main aim of the chapter is to provide information about the Local Rank Patterns image feature: Its background, mathematical definition, evaluation of its performance and notes on its implementation and use in object detectors. Implementations on theMMX, SSE, FPGA (programmable hardware), GPU (Cg) and CUDA platforms are described and experimentally evaluated. The performance of the image feature is evaluated within the WaldBoost classifier on the task of face detection, and it is compared to the commonly used Haar wavelets, local binary patterns and other low level features. The Local Rank Patterns feature seems suitable for hardware acceleration both directly by programmable or hard-wired hardware, but also by processors supporting different setsof the SIMD instructions. It is shown, that the LRP feature is an important alternative for construction of fast object detectors.

Druh

C - Kapitola v odborné knize

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/LC06008" target="_blank" >LC06008: Centrum počítačové grafiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Pattern Recognition, Recent Advances

ISBN

978-953-7619-90-9

Počet stran výsledku

26

Strana od-do

111-136

Počet stran knihy

524

Název nakladatele

IN-TECH Education and Publishing

Místo vydání

Vienna

Kód UT WoS kapitoly

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