Meteor showers caused by the previous-return ejecta of long period comets can guide deep searches, and improve warning time, for potentially hazardous long period comets that passed near Earth’s orbit in the past ten millennia. The CAMS (Cameras Allsky Meteor Surveillance) project, established in 2010, uses hundreds of low light CCTV cameras to capture the meteor activity in the night sky. After each night, a resident scientist performs the triangulation of tracklets captured by two or more cameras and computes the meteor%27s trajectory, orbit, and light curve. Each solution is then manually classified as a meteor or not a meteor like planes, birds, clouds.
The CAMS workflow can take months of painstaking human effort, tracing the showers, filtering false positives and clustering showers from multiple locations.
This work automates the CAMS workflow using a machine learning pipeline.
