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Rip currents pose a significant danger to those who visit beaches, as theycan swiftly pull swimmers away from shore. Detecting these currents currentlyrelies 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 paperproposes a new framework for detecting rip currents using video-based methodsthat leverage optical flow estimation, offshore direction calculation, earthcamera projection with almost local-isometric embedding on the sphere, andtemporal data fusion techniques. Through the analysis of videos from multiplebeaches, including Palm Beach, Haulover, Ocean Reef Park, and South Beach, aswell as YouTube footage, we demonstrate the efficacy of our approach, whichaligns with human experts' annotations.

Rip Current Detection in Nearshore Areas through UAV Video Analysis with Almost Local-Isometric Embedding Techniques on Sphere