Detecting pedestrians in surveillance videos based on Convolutional Neural Network and Motion

Varga, Domonkos István and Szirányi, Tamás (2016) Detecting pedestrians in surveillance videos based on Convolutional Neural Network and Motion. In: 24th European Signal Processing Conference, EUSIPCO 2016. IEEE, New York, pp. 2161-2165. ISBN 978-0-9928-6265-7 10.1109/EUSIPCO.2016.7760631

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Item Type: Book Section
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 29 Jan 2017 19:59
Last Modified: 29 Jan 2017 19:59
URI: http://eprints.sztaki.hu/id/eprint/9017

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