Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection
Author:
Affiliation:
1. Tsinghua University, International Graduate School & Peng Cheng Laboratory, Shenzhen, China
2. Peng Cheng Laboratory, Shenzhen, China
3. University of Warwick, Coventry, United Kingdom
Funder
the Major Key Project of PCL
the National Key R\&D Program of China
the Shenzhen Key Lab of Software Defined Networking
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645362
Reference35 articles.
1. 2018. Miarmy: Better Crowd Simulation for Maya. http://www.basefount.com/miarmy.html.
2. UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
3. Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh Ahuja, and Utku Genc. 2022. Anomalib: A Deep Learning Library for Anomaly Detection. arXiv:2202.08341 [cs.CV]
4. Taxonomy of Anomaly Detection Techniques in Crowd Scenes
5. Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images
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