Anderson, Oliver Josh (2015) Feasibility assessment of low cost stereo computer vision in clay target shooting coaching. [USQ Project]
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Abstract
Clay target shooting is a sport that has been slow to adopt new technology to help automate and improve coaching. Currently gun mounted cameras and shooting simulators are available but these are prohibitively expensive for most shooters. This project aims to determine if a lower cost alternative can be created to provide feedback to new shooters about the distance they missed the target using low cost stereo computer vision.
Initially an investigation was undertaken into the use of web cameras and GoPro action cameras for suitability to create a stereo vision system to track the shooter aim and the target position. The focus of this assessment was the camera resolution, frame rate and ability to be synchronized. The assessment found that these consumer-grade cameras all have high resolutions but no ability to be synchronized. Of these cameras the GoPro cameras could record in high definition at much higher frame rates then the web cameras and therefore were selected for the field trials.
Field trials to test the accuracy of the low cost stereo vision system were performed in three phases; 'static', 'dynamic' and 'vs coaches'. The static trials were designed to find a baseline accuracy where the effect of frame synchronization errors could be reduced. The dynamic trials were performed to test the system on moving targets and to try and compensate for the synchronization errors. Finally the system was trialed against the judgement of three experienced human judges to test its reliability against the current coaching method.
Matlab scripts were written to process the stereo images that were recorded as part of the field trials. Using colour thresholding and a custom filter that was created as part of this project, markers on the gun and the clay target were able to be segmented from the background in the trials. Using these positions the real world coordinates were able to be calculated and the aim of the gun vs target location estimated.
The outcome of the trials showed that low cost computer vision can have good accuracy in estimation of gun aim in a static scene. When movement was introduced to the trials the synchronization errors of the cameras resulted in large positional errors. The final outcome of the project determined that low cost stereo computer vision is far less reliable and accurate than human coaches and is not at this time feasible to be used in clay target coaching.
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Additional Information: | Bachelor of Engineering (Honours) Mechatronic Major project |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Tobias Low |
| Date Deposited: | 30 May 2016 06:43 |
| Last Modified: | 06 Jun 2016 01:03 |
| Uncontrolled Keywords: | Clay target shooting, synchronization errors, low cost stereo computer |
| Fields of Research (2008): | 09 Engineering > 0913 Mechanical Engineering > 091399 Mechanical Engineering not elsewhere classified |
| Fields of Research (2020): | 40 ENGINEERING > 4017 Mechanical engineering > 401799 Mechanical engineering not elsewhere classified |
| URI: | https://sear.unisq.edu.au/id/eprint/29158 |
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