Overview
The ground computer will process the data received from cricketusing computer vision. Cricket must be able to identify, track, and record player movements on the field and classify cricket-specific actions such as batting, bowling, and fielding.
Objectives
Implement a robust computer vision pipeline to process real-time video data streamed from the drone.
Accurately track and identify individual players on the cricket field
Classify cricket-specific actions (e.g., batting, bowling, fielding)
Generate metrics and visualizations from processed data for performance analysis.
Requirements
(In order of importance)
- Player detection and tracking that can handle occlusion, varying lighting, similar player appearances, changes in uniform, etc.
- Cricket action reconition
- Create an output with player performance metrics
Resources
(Any resources which will help the implementation of this feature: documentation, links, diagrams etc)
Overview
The ground computer will process the data received from cricketusing computer vision. Cricket must be able to identify, track, and record player movements on the field and classify cricket-specific actions such as batting, bowling, and fielding.
Objectives
Implement a robust computer vision pipeline to process real-time video data streamed from the drone.
Accurately track and identify individual players on the cricket field
Classify cricket-specific actions (e.g., batting, bowling, fielding)
Generate metrics and visualizations from processed data for performance analysis.
Requirements
(In order of importance)
Resources
(Any resources which will help the implementation of this feature: documentation, links, diagrams etc)