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