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Preprint . 2024
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Preprint . 2024
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Preprint . 2024
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A Tethered Unmanned Aircraft System for Crowd Dynamics and Unusual Pattern Extraction

Authors: Douklias, Athanasios; Vasilopoulos, Emmanuel; MALTEZOS, EVANGELOS; Karagiannidis, Lazaros; Ouzounoglou, Eleftherios; Vasilis, Nousis; Amditis, Angelos;

A Tethered Unmanned Aircraft System for Crowd Dynamics and Unusual Pattern Extraction

Abstract

Unusual pattern extraction and crowd dynamics and analysis has been receiving a constantly growing attention in the recent years contributing to safety, crisis management and situational awareness applications. Traditional video-based systems in this field that are exclusively monitored by human agents, are error-prone and present limited human performance. In this context, the design and implementation of an integrated tethered Unmanned Aircraft System (tUAS), namely INtelligentUxV Surveillance-Unusual Pattern Extraction (INUS-UPE) platform for crowd dynamics and unusual pattern extraction is presented. The INUS-UPE platform adopts a combination of key features and state-of-theart technologies such real-time processing in the edge, videobased pattern analysis for object detection, multiple object tracking, and unusual pattern extraction, web-based user interface (UI) for visualization and possibility of information sharing related the extracted events to external systems such common operational pictures (COPs), Command & Control (C2) platforms, and Human Machine Interfaces (HMIs). 

Keywords

tethered drone, deep learning, object detection, unusual pattern, crowd dynamics, UAS, object tracking

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green