Video analysis and visualization are widely used in various applications, including sports analysis, video surveillance and medical imaging. This study investigates the use of video visualization as a tool in the field of shooting. The study aims to answer the question: "What can be a good visualization strategy for video-based shooting analysis?". To answer this question, a software, using video visualization to analyze shooting videos, was created. The visualized videos were then tested by both inexperienced individuals and shooting experts. The implementation steps of the project consisted of recording shooting videos followed by implementing the visualizations. Object detection was used to track the shooting target and extract data. Displayed on the visualized videos were colored markings to show the locations of the aimpoint of the gun and the target. The data extracted was used to show graphs of relevant shooting metrics. The user tests focused on collecting quantitative and qualitative data from the users. The testers reacted positively to the use of visualized videos as a tool for analysing shooting performance. The analysis of the testers responses suggests that video visualization is an effective tool for analyzing shooting videos and holds great promise for future research in the field of shooting. The program implemented in the study has good potential for being used as a tool for improving shooting strategies.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:miun-48041 |
Date | January 2023 |
Creators | Carlsson, Jonas |
Publisher | Mittuniversitetet, Institutionen för data- och elektroteknik (2023-) |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0022 seconds