Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking

Author:

Carrell Steven,Atapour-Abarghouei Amir

Publisher

IEEE

Reference22 articles.

1. End-to-end training of object class detectors for mean average precision;henderson;Asian Conference on Computer Vision,2016

2. Vehicle Tracking Using Deep SORT with Low Confidence Track Filtering

3. Driver Cell Phone Usage Violation Detection using License Plate Recognition Camera Images

4. Times of crises and the development of the Police National Automatic Number Plate Recognition system in the UK

5. Driver handheld cell phone usage detection;elings;Master’s thesis,2018

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1. Safety on Wheels: Computer Vision for Driver and Passengers Monitoring;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

2. AI-Based Driver Drowsiness and Distraction Detection in Real-Time;2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE);2023-03-09

3. DeepSORT: Real Time & Multi-Object Detection and Tracking with YOLO and TensorFlow;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24

4. Human elbow flexion behaviour recognition based on posture estimation in complex scenes;IET Image Processing;2022-09-08

5. In-Vehicle Monitoring for Passengers' Safety;2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin);2022-09-02

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