OnTarget: An Electronic Archery Scoring

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.