Multi-modal Person Identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080528" target="_blank" >RIV/00216224:14330/15:00080528 - isvavai.cz</a>

Výsledek na webu

<a href="http://disa.fi.muni.cz/prototype-applications/person-identification/" target="_blank" >http://disa.fi.muni.cz/prototype-applications/person-identification/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multi-modal Person Identification

Popis výsledku v původním jazyce

Multi-modal Person Identification (MMPI) is a software technology for multi-modal recognition of persons according to their faces and the way they walk. The recognition process is based on analysis of detected face images and motion capture data — both acquired by motion capturing devices, including popular Microsoft Kinect and ASUS Xtion. The acquired data are firstly preprocessed by (1) detecting face images and extracting MPEG-7 face features and (2) detecting walk cycles and extracting movement features in form of relative velocities of the specific joints for each walk cycle. Both the face and walk-cycle features extracted from a query motion are used to retrieve two independent sets of the most similar faces and walk cycles. These retrieved sets are processed by a multi-modal classification method to recognize the query person identity.

Název v anglickém jazyce

Multi-modal Person Identification

Popis výsledku anglicky

Multi-modal Person Identification (MMPI) is a software technology for multi-modal recognition of persons according to their faces and the way they walk. The recognition process is based on analysis of detected face images and motion capture data — both acquired by motion capturing devices, including popular Microsoft Kinect and ASUS Xtion. The acquired data are firstly preprocessed by (1) detecting face images and extracting MPEG-7 face features and (2) detecting walk cycles and extracting movement features in form of relative velocities of the specific joints for each walk cycle. Both the face and walk-cycle features extracted from a query motion are used to retrieve two independent sets of the most similar faces and walk cycles. These retrieved sets are processed by a multi-modal classification method to recognize the query person identity.

Druh

R - Software

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/VG20122015073" target="_blank" >VG20122015073: Efektivní vyhledávání v rozsáhlých biometrických datech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

MMPI

Technické parametry

The more detailed information about this technology along with the information about software acquisition is available at: http://disa.fi.muni.cz/prototype-applications/person-identification/. Odpovědná osoba pro jednání: prof. Ing. Pavel Zezula, CSc., Fakulta informatiky, Masarykova univerzita, Botanická 68a, Brno, tel.: 54949 7992

Ekonomické parametry

The Multi-modal Person Identification technology is provided free of charge - it is distributed under a GPL licence. The technology is supposed to be able to contribute to a more effective fight against terrorism by automatic identification of suspicious persons based similarity of their faces and the way they walk. It is supposed that the technology can be utilized in organizations like Europol, Criminal Police, etc.

IČO vlastníka výsledku

00216224

Název vlastníka

Masarykova univerzita