Method For Traffic Violation Detection Using Deep Learning
Author:
Affiliation:
1. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia
2. Bina Nusantara University,School of Computer Science,Statistics Department,Jakarta,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10348961/10348616/10349009.pdf?arnumber=10349009
Reference31 articles.
1. Traffic Signal Violation Detection using Artificial Intelligence and Deep Learning
2. Performance Analysis of Object Detection Algorithm for Intelligent Traffic Surveillance System
3. Performance Analysis of Object Detection and Tracking Algorithms for Traffic Surveillance Applications using Neural Networks
4. Anomaly Detection in Videos for Video Surveillance Applications using Neural Networks
5. Traffic Monitoring System Based on Deep Learning and Seismometer Data
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