Online human action recognition framework

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APR25276" target="_blank" >RIV/00216305:26230/10:PR25276 - 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

Online human action recognition framework

Popis výsledku v původním jazyce

The product is able to do detect human actions in video on the fly. It is based on online version of local spatio-temporal feature extractor for description of spatio-temporal interest regions. These local features are transformed by codeword transfomation into bag-of-words descriptors. The descriptors are constructed from the predefined number of input frames and are classified using arbitrary number of linear svm classifiers (one for each class to be detected). Classifier's output can be converted todecision, if the classified action is presented in an current part of a video or not. The product is modular. The feature extractor can be replaced by another type, the number of classifiers is not restricted, and even another type of classifiers can beused. All components, the codebook and all classifiers have to be prepared, trained and evaluated in another framework; here all of them are only used for online prediction.

Název v anglickém jazyce

Online human action recognition framework

Popis výsledku anglicky

The product is able to do detect human actions in video on the fly. It is based on online version of local spatio-temporal feature extractor for description of spatio-temporal interest regions. These local features are transformed by codeword transfomation into bag-of-words descriptors. The descriptors are constructed from the predefined number of input frames and are classified using arbitrary number of linear svm classifiers (one for each class to be detected). Classifier's output can be converted todecision, if the classified action is presented in an current part of a video or not. The product is modular. The feature extractor can be replaced by another type, the number of classifiers is not restricted, and even another type of classifiers can beused. All components, the codebook and all classifiers have to be prepared, trained and evaluated in another framework; here all of them are only used for online prediction.

Druh

R - Software

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

OnlineHumanActionRecognitionF

Technické parametry

Pro podrobnosti licenčních podmínek konzultujte: Ing. Vladimír Pavelka, Útvar transferu technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 499

Ekonomické parametry

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IČO vlastníka výsledku

00216305

Název vlastníka

Vysoké učení technické v Brně