Augmented Reality Surveillance System for Road Traffic Monitoring-Reference-Cited by-同舟云学术

Augmented Reality Surveillance System for Road Traffic Monitoring

Published:2014 Issue: Volume: Page:310-317
ISSN:0302-9743
Container-title:Intelligent Computing Methodologies
language:
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Author:

Filonenko Alexander,Vavilin Andrey,Kim Taeho,Jo Kang-Hyun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-09339-0_32

Reference11 articles.

1. Tyagi, V.: Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics. IEEE Transactions on Intelligent Transportation Systems 13(3), 1156–1166 (2012)

2. Mao, R.X.: Road traffic density estimation in vehicular networks. In: Wireless Communications and Networking Conference, Shanghai, pp. 4653–4658 (2013)

3. Padiath, A., Vanajakshi, L., Subramanian, S.C., Manda, H.: Prediction of traffic density for congestion analysis under Indian traffic conditions. In: 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis (2009)

4. Purusothaman, S.B.: Vehicular traffic density state estimation using Support Vector Machine. In: International Conference on Emerging Trends in Computing, Communication and Nanotechnology, Tirunelveli, pp. 782–785 (2013)

5. Royani, T., Haddadnia, J., Pooshideh, M.R.: A simple method for calculating vehicle density in traffic images. In: Machine Vision and Image Processing, 6th Iranian, Isfahan (2010)

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