Vehicle Detecting and Tracking Application Based on YOLOv5 and DeepSort for Bayer Data-Reference-Cited by-同舟云学术

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Vehicle Detecting and Tracking Application Based on YOLOv5 and DeepSort for Bayer Data

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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Author:

Wei Chuheng¹

Affiliation:

1. Warwick Manufacturing Group, University of Warwick,Coventry,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004379.pdf?arnumber=10004379

Reference34 articles.

1. Recent developments on target tracking problems: A review

2. A review of visual moving target tracking

3. Vision meets robotics: The KITTI dataset

4. An introduction to the digital still camera technology;mancuso;ST Journal of System Research,2001

5. Simple online and realtime tracking with a deep association metric

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1. Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios;2023 Seventh IEEE International Conference on Robotic Computing (IRC);2023-12-11

2. Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. Enabling Vehicle Search Through Robust Licence Plate Detection;2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2023-08-03

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