Hand Detection In Static Images, Video Sequences And Real Time Camera Feed
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Date
2019
Authors
Bravenec, Tomáš
ORCID
Advisor
Referee
Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
The goal of this project is to create a computer vision system capable of hand detection in static images and in video sequence either from existing recording or real time feed from connected camera. Algorithms commonly used for hand detection are mostly dependent on simple background and are very dependent on the lightning changes. To mostly eliminate these issues this project uses deep convolutional neural network trained for hand detection.
Description
Citation
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 386-389. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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Language of document
en
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Defence
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií