Vehicle Detection in Hsuehshan Tunnel Using Background Subtraction and Deep Belief Network-Reference-Cited by-同舟云学术

Vehicle Detection in Hsuehshan Tunnel Using Background Subtraction and Deep Belief Network

Published:2017 Issue: Volume: Page:217-226
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
Short-container-title:

Author:

Huang Bo-Jhen,Hsieh Jun-Wei,Tsai Chun-Ming

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-54430-4_21

Reference25 articles.

1. Tsai, C.M., Hsieh, J.W., Shih, F.Y.: Motion-based vehicle detection in Hsuehshan Tunnel. In: 8th International Conference on Advanced Computational Intelligence, Chiang Mai, Thailand, pp. 385–389 (2016)

2. Wu, B.F., Kao, C.C., Liu, C.C., Fan, C.J., Chen, C.J.: The vision-based vehicle detection and incident detection system in Hsuehshan Tunnel. In: 2008 IEEE International Symposium on Industrial Electronics, pp. 1394–1399 (2008)

3. Hsuehshan Tunnel. https://en.wikipedia.org/wiki/Hsuehshan_Tunnel

4. Hsuehshan Tunnel accidents. https://commons.wikimedia.org/wiki/Category:Hsuehshan_tunnel_accidents

5. Pflugfelder, R., Bischof, H., Fernandez Dominguez, G., Nolle, M., Schwabach, H.: Influence of camera properties on image analysis in visual tunnel surveillance. In: Proceedings of 8th International Conference on Intelligent Transportation Systems (ITSC), ITSS, pp. 868–873. IEEE Computer Society (2005)

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