Original title: Hand Detection In Static Images, Video Sequences And Real Time Camera Feed
Authors: Bravenec, Tomáš
Document type: Papers
Language: eng
Publisher: 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.
Keywords: Computer Vision; Convolutional Neural Networks; Deep Learning; Hand detection
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186699

Permalink: http://www.nusl.cz/ntk/nusl-414601


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers