Gait Recognition from Motion Capture Data – RNDr. Michal Balážia
RNDr. Michal Balážia
Doctoral thesis
Gait Recognition from Motion Capture Data
Gait Recognition from Motion Capture Data
Abstract:
Táto dizertačná práca ponúka sériu troch podobnostných modelov pre biometrický systém založený na rozpoznávaní ľudí podľa dynamiky chôdze v kontextoch identifikácie a re-identifikácie. Vstup je zbieraný pomocou senzorov Motion Capture, ktoré produkujú štruktúrované pohybové dáta. Osvojujeme si dva hlavné prístupy k reprezentácii ľudskej chôdze: ručné navrhovanie geometrických charakteristík a strojové …moreAbstract:
The dissertation offers a series of three similarity models for a gait-assisted biometric recognition system to aid person identification and re-identification. Input is collected from motion capture sensors that provide structural motion data samples. We adopt two major approaches to representation of human gait: hand-crafting geometric features and learning latent features in a statistical manner …more
Language used: English
Date on which the thesis was submitted / produced: 1. 11. 2017
Identifier:
https://is.muni.cz/th/gljho/
Thesis defence
- Date of defence: 6. 4. 2018
- Supervisor: doc. RNDr. Petr Sojka, Ph.D.
- Reader: prof. Ing. Martin Drahanský, Ph.D., Prof. Arun Ross
Citation record
Full text of thesis
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Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsDoctoral programme / field:
Informatics (4-years) / Informatics
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