OnTarget: An Electronic Archery Scoring
This solves the problem of automated scoring for archery enthusiasts or competitions, but it is incremental as it builds on existing computer vision techniques for a specific application.
The paper tackled the problem of developing an electronic archery scoring system using computer vision, addressing challenges like light variability and target reconstruction, and resulted in an algorithm that balances robust arrow detection with required accuracy.
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.