Flow-Based Rip Current Detection and Visualization

Rip currents are like rivers of fast-moving water that can quickly carry the unwary out to sea. They not easy recognize, especially untrained observer. Other than in-situ current measurements, there exists a number methods analyzes images and videos detect rip currents. Most these techniques base their detection on appearance such as foamy pattern, discoloration water, locations breaking waves. Leading use either image processing or machine learning and/or video input. In this paper, we analyze behavior movement rather simply its Specifically, investigated several flow visualization tune them Based our study, recommend two allowed us where other have failed. And because originated techniques, any presence automatically highlighted. We also evaluated against previously annotated results by experts, found detections were sufficiently sensitive some expert annotations relabeled.