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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Official URL: http://www.eurasip.org/Proceedings/Eusipco/Eusipco...
| Item Type: | Book Section |
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| 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: | 21 Jul 2019 14:05 |
| URI: | https://eprints.sztaki.hu/id/eprint/9017 |
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