Tracking Solar Events through Iterative Refinement

Abstract

In this paper, we combine two approaches to multiple-target tracking: the first is a hierarchical approach to iteratively growing track fragments across gaps in detections; the second is a network flow based optimization method for data association. The network flow based optimization method is utilized for data association in an iteratively growing manner. This process is applied to solar data, retrieved from the Heliophysics Event Knowledge base (HEK) and utilizes precomputed image parameter values. These precomputed image parameter values are used to compare visual similarity of detected events, to determine the best matching track fragment associations, which leads to a globally optimal track fragment association hypothesis.

A Comparison of Classifiers for Solar Energetic Events

“…The descriptors were computed for a sample of 126 filaments that erupted, and a sample of 141 that did not erupt from 2012-2013. The individual filament events were tracked and grouped together by an algorithm developed by Kempton & Angryk (2015). Most of these were filament features were taken from the Heliophysics Event Knowledgebase (HEK; Hurlburt et al 2012) and characterize the morphology of the filament.…”

Solev

“…Metadata about those aforementioned solar events can be queried from the Heliophysics Event Knowledgebase (HEK), which is a massive online solar metadata repository. In [4], a tracking algorithm is proposed to find trajectories of event. This textual metadata includes instances reported by the HEK.…”

“…The results of event detection process generated from the different detection software modules are textual metadata related to the event instance including the event instance location, spatial boundaries in helioprojective-cartesian and heliocentric coordinates (HPC), minimum bounding box, and centroid. The data is then passed on to our tracking module [4] that relates event instances across images and creates evolving regions trajectories. The trajectories of events textual metadata are used as an input to our interpolation module, which interpolates the event shapes at times where no detection was recorded.…”

“…The tracking module previously appeared in [4] takes individual detections from the HEK, and links them together into trajectories in an iterative fashion. The tracking algorithm firstly links the individual detections by projecting a detected object forward using the known differential rotation of the solar surface, and searches for the potential detections that overlap with the search area at the next time step.…”

“…The demonstration will highlight the visualization capability of our implemented video generator. Readers are invited to access our public video generator webpage 4 and explore our framework.…”