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Hit Detection in Sports Pistol Shooting
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).ORCID iD: 0000-0002-0535-1761
2021 (English)In: 33rd Workshop of the Swedish Artificial Intelligence Society, SAIS 2021, Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 42-45Conference paper, Published paper (Other academic)
Abstract [en]

Score calculation and performance analysis of shooting targets is an important aspect in the development of sports shooting ability. An image-based automatic scoring algorithm would provide automation of this procedure and digital visualization of the result. Existing solutions are able to detect hits with high precision. However, these methods are either too expensive or adapted to unrealistic use cases where high quality paper targets are photographed in very favorable environments. Usually, precision pistol shooting is performed outdoors and bullet holes are covered with stickers between shooting rounds. The targets are reused until they are destroyed. This paper introduces the first generation of an image-based method for automatic hit detection adapted to realistic shooting conditions. It relies solely on available image processing techniques. The proposed algorithm detects hits with 40 percent detection rate in low-quality targets, reaching 88 percent detection rate in targets of higher quality.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 42-45
Keywords [en]
Guns (armament), Image processing, Sports, Automatic scoring, Detection rates, Digital visualization, High quality papers, Image processing technique, Image-based methods, Performance analysis, Shooting conditions, Artificial intelligence
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hj:diva-54227DOI: 10.1109/SAIS53221.2021.9483984Scopus ID: 2-s2.0-85111612348ISBN: 9781665442367 (print)OAI: oai:DiVA.org:hj-54227DiVA, id: diva2:1584928
Conference
33rd Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2021, 14 June 2021 through 15 June 2021
Available from: 2021-08-13 Created: 2021-08-13 Last updated: 2021-08-13Bibliographically approved

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Lavesson, Niklas

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CiteExportLink to record
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