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- W4366999942 abstract "Rip currents pose a significant danger to those who visit beaches, as they can swiftly pull swimmers away from shore. Detecting these currents currently relies on costly equipment and is challenging to implement on a larger scale. The advent of unmanned aerial vehicles (UAVs) and camera technology, however, has made monitoring near-shore regions more accessible and scalable. This paper proposes a new framework for detecting rip currents using video-based methods that leverage optical flow estimation, offshore direction calculation, and temporal data fusion techniques. Through the analysis of videos from multiple beaches, including Palm Beach, Haulover, Ocean Reef Park, and South Beach, as well as YouTube footage, we demonstrate the efficacy of our approach, which aligns with human experts' annotations." @default.
- W4366999942 created "2023-04-27" @default.
- W4366999942 creator A5019301524 @default.
- W4366999942 date "2023-04-23" @default.
- W4366999942 modified "2023-09-30" @default.
- W4366999942 title "UAV-Video-Based Rip Current Detection in Nearshore Areas" @default.
- W4366999942 doi "https://doi.org/10.48550/arxiv.2304.11783" @default.
- W4366999942 hasPublicationYear "2023" @default.
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