A Multi-Stream Approach to Mixed-Traffic Accident Recognition Using Deep Learning

A Multi-Stream Approach to Mixed-Traffic Accident Recognition Using Deep Learning

Road traffic accidents are a leading cause of injuries and fatalities globally, prompting extensive research into deep learning-based accident recognition models for their superior performance in computer vision tasks. However, most studies focus on non-mixed traffic environments, where detection is...

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Bibliographic Details
Main Authors: Swee Tee Fu, Lau Bee Theng, Brian Loh Chung Shiong, Chris McCarthy, Mark Tee Kit Tsun
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
image classification
object detection
object tracking
road accidents
Online Access:https://ieeexplore.ieee.org/document/10781397/
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https://ieeexplore.ieee.org/document/10781397/

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