EBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding. (arXiv:2208.10581v1 [cs.CV])

We propose an Event-Based Snow Removal algorithm called EBSnoR. We developed
a technique to measure the dwell time of snowflakes on a pixel using
event-based camera data, which is used to carry out a Neyman-Pearson hypothesis
test to partition event stream into snowflake and background events. The
effectiveness of the proposed EBSnoR was verified on a new dataset called
UDayton22EBSnow, comprised of front-facing event-based camera in a car driving
through snow with manually annotated bounding boxes around surrounding
vehicles. Qualitatively, …

arxiv cv event snow thresholding time