Automatic Detection of Traffic Accidents from Video Using Deep Learning Techniques
According to worldwide statistics, traffic accidents are the cause of a high percentage of violent deaths. The time taken to send the medical response to the accident site is largely affected by the human factor and correlates with survival probability. Due to this and the wide use of video surveill...
Main Authors: | Sergio Robles-Serrano, German Sanchez-Torres, John Branch-Bedoya |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/10/11/148 |
Similar Items
-
Predicting Road Traffic Accidents—Artificial Neural Network Approach
by: Dragan Gatarić, et al.
Published: (2023-05-01) -
Hybrid Traffic Accident Classification Models
by: Yihang Zhang, et al.
Published: (2023-02-01) -
Traffic accident reconstruction : volume 2 of the traffic investigation manual /
by: 217516 Fricke, Lynn B.
Published: (c199) -
Traffic Transformer: Transformer-based framework for temporal traffic accident prediction
by: Mansoor G. Al-Thani, et al.
Published: (2024-04-01) -
A Novel Fuzzy-Based Convolutional Neural Network Method to Traffic Flow Prediction With Uncertain Traffic Accident Information
by: Jiyao An, et al.
Published: (2019-01-01)