Eagle-Eye: Extracting Archery Hit-Patterns From Mobile Images to Improve the Training Process

14 Pages Posted: 6 Aug 2019

Date Written: July 8, 2019

Abstract

Eagle-Eye is an application to support archery training. For archery not just the score but also the distribution and the direction/clock of the groups are of interest. The archer can check his performance and document his progress in a convenient way. He takes pictures of the target face with his mobile. The precision of the hit-recognition is far superior to the systems presented in Chanh Nguyen, Irving Lin: "Arrowsmith: Automatic Archery Scorer" and L.A. Danielescu: "OnTarget: An Electronic Archery Scoring System". Eagle-Eye does no try to recognize the arrows. Instead it uses the fact that the arrows generate holes in the target face. This is a simpler and additionally a more general approach. Eagle-Eye should work with minor modifications for other firearms too. If the user is only interested in the overall performance he has to take just a single picture at the end of the training session.

The authors of "Arrowsmith: Automatic Archery Scorer" and "OnTarget: An Electronic Archery Scoring System" use the Open CV library. Eagle-Eye uses special purpose algorithms which were implemented by the author in the programming language Go.

Keywords: Archery, Image-processing, Object-recognition

Suggested Citation

Donninger, Chrilly, Eagle-Eye: Extracting Archery Hit-Patterns From Mobile Images to Improve the Training Process (July 8, 2019). Available at SSRN: https://ssrn.com/abstract=3431054 or http://dx.doi.org/10.2139/ssrn.3431054

Chrilly Donninger (Contact Author)

Nimzowerkstatt OEG ( email )

Altmelon 110
Arbesbach, Lower-Austria A-3925
Austria

HOME PAGE: http://www.godotfinance.com

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