Vehicle Classification and Counting from Surveillance Camera Using Computer Vision-Reference-Cited by-同舟云学术

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Vehicle Classification and Counting from Surveillance Camera Using Computer Vision

Published:2022 Issue: Volume: Page:457-470
ISSN:2367-3370
Container-title:Inventive Systems and Control
language:
Short-container-title:

Author:

Ayub khan A.,Sabeenian R. S.,Janani A. S.,Akash P.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1012-8_31

Reference19 articles.

1. Quesada J, Rodriguez P (2016) Automatic vehicle counting method based on principal component pursuit background modeling. In: IEEE international conference on image processing (ICIP), pp 3822–3826

2. Abdelwahab MA (2019) Accurate vehicle counting approach based on deep neural networks. In: 2019 International conference on innovative trends in computer engineering (ITCE). IEEE, New York, pp 1–5

3. Wang Y, Ban X, Wang H, Wu D, Wang H, Yang S, Liu S, Lai J (2019) Detection and classification of moving vehicle from video using multiple spatio-temporal features, recent advances in video coding and security. IEEE Access 7:80287–80299

4. Awang S, Azmi NMAN, Rahman MA (2020) Vehicle type classification using an enhanced sparse-filtered convolutional neural network with layer-skipping strategy. IEEE Access 8:14265–14277

5. Nasaruddin N, Muchtar K, Afdhal A (2019) A lightweight moving vehicle classification system through attention-based method and deep learning. IEEE Access 7:157564–157573

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer Vision Application: Vehicle Counting and Classification System from Real Time Videos;International Journal of Advanced Research in Science, Communication and Technology;2024-01-12

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