Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
Author:
Affiliation:
1. Durham University,Department of Computer Science,Durham,UK
Funder
Nuclear Decommissioning Authority
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208786.pdf?arnumber=10208786
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1. Visible to infrared transfer learning as a paradigm for accessible real-time object detection and classification in infrared imagery;a gaus;Counterterrorism Crime Fighting Forensics and Surveillance,2020
2. Learning to segment moving objects in videos
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5. Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
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