A Deep Learning RCNN Approach for Vehicle Recognition in Traffic Surveillance System-Reference-Cited by-同舟云学术

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A Deep Learning RCNN Approach for Vehicle Recognition in Traffic Surveillance System

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Communication and Signal Processing (ICCSP)
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Author:

V Murugan,V.R Vijaykumar,A Nidhila

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8688513/8697901/08698018.pdf?arnumber=8698018

Cited by 20 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. Tracking and Detection of Moving Vehicles using Hybrid Optical Flow Technique in Complex Transport Atmosphere;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

2. INTEGRATION OF DEEP LEARNING MODELS FOR VEHICLE COUNTING: TOWARDS OPTIMIZED PLANNING OF URBAN CHARGING INFRASTRUCTURES;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-03-08

3. A Review of Vehicle Detection Methods Based on Computer Vision;Journal of Intelligent and Connected Vehicles;2024-03

4. Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing Using Deep Learning;Lecture Notes in Networks and Systems;2024

5. MAFF: A Novel MobileNetV3 Attention Feature Fusion Network for Automatic Vehicle Classification;2023 6th International Conference on Software Engineering and Computer Science (CSECS);2023-12-22

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