Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images

Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images

In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video surveillance applications, such as vehicle tracking, border control, dangerous object detection, and many others. Anomaly detection can represent a prerequisite of many of these applications thanks to its abili...

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Bibliographic Details
Main Authors: Danilo Avola, Luigi Cinque, Angelo Di Mambro, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Information
Subjects:
anomaly detection
small-scale unmanned aerial vehicles
low-altitude flights
texture analysis
feature extraction
real-time applications
Online Access:https://www.mdpi.com/2078-2489/13/1/2

Internet

https://www.mdpi.com/2078-2489/13/1/2

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