DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Author:
Affiliation:
1. Robotics Institute, University of Michigan, Ann Arbor, MI, USA
2. Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA
Funder
National Science Foundation
U.S. Navy
IU Office of the Vice Provost for Research
Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
https://ieeexplore.ieee.org/ielam/34/9970415/9712446-aam.pdf
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5. A Survey of Single-Scene Video Anomaly Detection
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