OnTarget: An Electronic Archery Scoring
Andreea Danielescu

TL;DR
This paper presents OnTarget, an electronic archery scoring system utilizing computer vision to accurately detect arrow hits despite challenges like lighting variability, target reconstruction, and noise filtering.
Contribution
It introduces a novel algorithm that balances robustness and accuracy in arrow detection across various target configurations.
Findings
Effective arrow detection under variable lighting conditions
Successful target reconstruction from multiple images
High accuracy in scoring despite noise and target variability
Abstract
There are several challenges in creating an electronic archery scoring system using computer vision techniques. Variability of light, reconstruction of the target from several images, variability of target configuration, and filtering noise were significant challenges during the creation of this scoring system. This paper discusses the approach used to determine where an arrow hits a target, for any possible single or set of targets and provides an algorithm that balances the difficulty of robust arrow detection while retaining the required accuracy.
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Taxonomy
TopicsMechanics and Biomechanics Studies · Image Processing and 3D Reconstruction · Metallurgy and Cultural Artifacts
