Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine-Reference-Cited by-同舟云学术

Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine

Published:2023 Issue: Volume: Page:149-157
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
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Author:

Nguyen Vinh Dinh,Tran Thanh Hoang,Dang Doan Thai,Debnath Narayan C.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27762-7_14

Reference12 articles.

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2. Li, H., Zhang, Z., Chen, W.: Detection for vehicle's overlap based on support vector machine. In: International Conference on Information Management, Innovation Management and Industrial Engineering, pp. 410–412 (2009)

3. Nan, M., Li, C., JianCheng, H., QiuNa, S., JiaHong, L., GuoPing, Z.: Pedestrian detection based on HOG Features and SVM realizes vehicle-human-environment interaction, In: International Conference on Computational Intelligence and Security (CIS), pp. 287–29 (2019)

4. Bougharriou, S., Hamdaoui, F., Mtibaa, A.: Linear SVM classifier based HOG car detection. In: International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 241–245 (2017)

5. Guangying, G., Cunwei, T., Minggong, W.: On the study of moving objects detection and pattern recognition using LS-SVM. World Congress on Intelligent Control and Automation, pp. 2486–2490 (2008)

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