Traffic Accident Detection and Classification in Videos based on Deep Network Features
Author:
Affiliation:
1. Chungbuk National University,College of Electrical and Computer Engineering,Cheongju,Korea
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199107/10199171/10199977.pdf?arnumber=10199977
Reference10 articles.
1. ImageNet classification with deep convolutional neural networks
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3. Decoupled deep neural network for semi-supervised semantic segmentation;hong;Advances in neural information processing systems,2015
4. Traffic anomaly detection via perspective map based on spatial-temporal information matrix;bai;CVPR Workshops,2019
5. Real-World Anomaly Detection in Surveillance Videos
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