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Automatic traffic accidents detection has appealed to the machine vision community due to its implications on the development of autonomous intelligent transportation systems (ITS) and importance to traffic safety.
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A novel approach to automatic road-accident detection using machine vision techniques
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[lecture notes in computer science] computer vision – accv 2016 volume 10114 —— anticipating accidents in dashcam videos
S. H. Lai, V. Lepetit, K. Nishino, and Y. Sato · 2017
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Identifying the key risk factors of traffic accident injury severity on slovenian roads using a non-parametric classification tree
Vesna Rov?Ek, Milan Batista, and Branko Bogunovi? · 2017
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A classification and recognition model for the severity of road traffic accident
Xi Jian-feng, Hai Yan, Mowen Ran, Guo Hong-yu, Tian Jian, Mengtian Li, Lisa Liu, and Liu Haizhu · 2017
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2017
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T. Y. Lin, P. Goyal, R. Girshick, K. He, and P Dollár · 2017
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Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Real-world anomaly detection in surveillance videos
W. Sultani, C. Chen, and M. Shah · 2018
Vision-based highway traffic accident detection
Peng Wang, Cui Ni, and Kefeng Li · 2019
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C. Feichtenhofer, H. Fan, J. Malik, and K. He · 2019
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Anomalous motion detection on highway using deep learning
Harpreet Singh, Emily M. Hand, and Kostas Alexis · 2020
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Traffic accident benchmark for causality recognition
Tackgeun You and Bohyung Han · 2020
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Video anomaly detection using inflated 3d convolution network
D. Koshti, S. Kamoji, N. Kalnad, S. Sreekumar, and S. Bhujbal · 2020
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Pre-activated 3d cnn and feature pyramid network for traffic accident detection
H. Kim, S. Park, and J. Paik · 2020
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Cited alongside, same era.
Cadp: A novel dataset for cctv traffic camera based accident analysis
Ankit Parag Shah, Jean-Bapstite Lamare, Tuan Nguyen-Anh, and Alexander Hauptmann · 2018
Cited alongside, same era.
Dada-2000: Can driving accident be predicted by driver attention? analyzed by a benchmark
J. Fang, D. Yan, J. Qiao, J. Xue, and S. Li · 2019
Cited alongside, same era.
Real-time traffic incidence dataset
Sumanta Bhattacharyya, Arindrajit Seal, and Arindam Mukherjee · 2019
Cited alongside, same era.
The 2019 ai city challenge
Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, and Siwei Lyu · 2019
Cited alongside, same era.
A countrywide traffic accident dataset
S. Moosavi, M. H. Samavatian, S. Parthasarathy, and R. Ramnath · 2019
Cited alongside, same era.
Computer vision-based accident detection in traffic surveillance
E. P. Ijjina, D. Chand, S. Gupta, and . Goutham, K · 2019
Cited alongside, same era.
Who make drivers stop? towards driver-centric risk assessment: Risk object identification via causal inference
C. Li, S. H. Chan, and Y. T. Chen · 2020
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Yolov4: Optimal speed and accuracy of object detection, 04 2020
Alexey Bochkovskiy, Chien-Yao Wang, and Hong-yuan Liao · 2020
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Attention r-cnn for accident detection
Trung-Nghia Le, Shintaro Ono, Akihiro Sugimoto, and Hiroshi Kawasaki · 2020
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A vision-based system for traffic anomaly detection using deep learning and decision trees
Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, and Anuj Sharma · 2021
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Abnormal activity recognition from surveillance videos using convolutional neural network
Shabana Habib, Altaf Hussain, Waleed Albattah, Muhammad Islam, Sheroz Khan, Kushsairy Kadir, Rehan Ullah Khan, and Khalil Khan · 2021
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Automatic detection of traffic accidents from video using deep learning techniques
J. Branch-Bedoya · 2021
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Dota: Unsupervised detection of traffic anomaly in driving videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, and David Crandall · 2022
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A dynamic spatial-temporal attention network for early anticipation of traffic accidents
Muhammad Monjurul Karim, Yu Li, Ruwen Qin, and Zhaozheng Yin · 2022
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Road object detection: a comparative study of deep learning-based algorithms
Bharat Mahaur, Navjot Singh, and K. K. Mishra · 2022
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