Estimation of Vehicle Count, Class, and Speed on Highways Using a Computer Vision-Based Technique-Reference-Cited by-同舟云学术

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Estimation of Vehicle Count, Class, and Speed on Highways Using a Computer Vision-Based Technique

Published:2021 Issue: Volume: Page:937-949
ISSN:2194-5357
Container-title:Cognitive Informatics and Soft Computing
language:
Short-container-title:

Author:

Asha P.,Prince Mary S.,Usha Nandhini D.,Krishnan Sathyabama

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1056-1_76

Reference24 articles.

1. VijeyaKaveri, V., Maheswari, V.: Mining social data to identifying user behavior in medhelp forum on health-related topics. Int. J. Recent Technol. Eng. 8(2 Special issue 3), 1306–1310 (2019)

2. Li, D., Liang, B., Zhang, W.: Real-time moving vehicle detection, tracking, and counting system implemented with OpenCV. In: 4th IEEE International Conference on Information Science and Technology (ICIST), pp. 631–634 (2014)

3. Sivaraman, S., Trivedi, M.: Looking at vehicles on the road: a survey of vision-based vehicle detection, tracking, and behavior analysis. IEEE Trans. Intell. Transp. Syst. 14(4), 1773–1795 (2013)

4. Lei, M., Lefloch, D., Gouton, P., Madani, K.: A video-based real-time vehicle counting system using adaptive background method. In: 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems, pp. 523–528

5. Aravind, K.R.N.V.V.D., PraylaShyry, S., Felix, Y.: Classification of healthy and rot leaves of apple using gradient boosting and support vector classifier. Int. J. Innov. Technol. Exploring Eng. 8(12), 2868–2872 (2019)

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