Flow Analysis of Vehicles on a Lane Using Deep Learning Techniques

Author:

Joshi Aruna Kumar,Kulkarni Shrinivasrao B.

Publisher

Engineering and Technology Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Reference31 articles.

1. [1] A. Fedorov, K. Nikolskaia, and Ivanov, "Traffic flow estimation with data from a video surveillance camera," J. Big Data, vol. 6, 2019.

2. [2] H. Jung, M. K. Choi, J. Jung, J. H. Lee, S. Kwon, and W. Y. Jung, "ResNet-based vehicle classification and localization in traffic surveillance systems," in Proc. 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017, vol. 72.

3. [3] S. Zhang and G. Wu, "Understanding traffic density from large-scale web camera," Data. Computer Vision and Pattern Recognition, pp. 58985907, 2017.

4. [4] R. G. G. O. Olmedo, B. T. Jenez, R. L. Opezsastre, S. M. Bon, and O. Rubio, "Extremely overlapping vehicle counting," in Proc. Iberian Conference on Pattern Recognition and Image Analysis, 2015, vol. 216.

5. [5] D. Araniosuto and H. Oumaabsaloms, "Automatic road traffic density estimation using image processing," Algorithms. Annual Conference on Sustainable Research and Innovation, 2016.

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