OpenCV Expert for Football Pitch Calibration
Budget: $10 – $30 USD
Job Title:
Computer Vision Engineer Needed to film a small five-a-side football pitch and create simple calibration for three camerasJob Description:
I am looking for a computer vision engineer with good experience in camera calibration using OpenCV to help record a simple scene in a five-a-side football pitch and then extract a preliminary calibration for three stationary cameras.
The project is small and simple, requiring only basic calibration for a simple research experiment in football match analysis.
Tasks Required:
1. Film a short scene on a five-a-side football pitch
Place three fixed cameras at a suitable height.
Record a short video of a player moving on the pitch.
Film short shots of calibration points or markers.
The cameras can be just any mobile phone; no professional equipment is required.
2. Setting up simple calibration markers
A printed chessboard or clear markings on the floor can be used.
Objective: To obtain a preliminary calibration only.
3. Extracting Calibration Files
Using OpenCV:
Intrinsic Parameters
Extrinsic Parameters
A small file showing the position of each camera relative to the field
We don't need extremely high resolution, just a preliminary, testable result.
What will be delivered:
Three calibration files (YAML or JSON)
A short scene video
A calibration footage video
A simple diagram of the camera positions
Requirements:
Experience with OpenCV Camera Calibration
Knowledge of multi-view geometry (intermediate level sufficient)
Ability to shoot in a small field
Computer Vision Engineer Needed to film a small five-a-side football pitch and create simple calibration for three camerasJob Description:
I am looking for a computer vision engineer with good experience in camera calibration using OpenCV to help record a simple scene in a five-a-side football pitch and then extract a preliminary calibration for three stationary cameras.
The project is small and simple, requiring only basic calibration for a simple research experiment in football match analysis.
Tasks Required:
1. Film a short scene on a five-a-side football pitch
Place three fixed cameras at a suitable height.
Record a short video of a player moving on the pitch.
Film short shots of calibration points or markers.
The cameras can be just any mobile phone; no professional equipment is required.
2. Setting up simple calibration markers
A printed chessboard or clear markings on the floor can be used.
Objective: To obtain a preliminary calibration only.
3. Extracting Calibration Files
Using OpenCV:
Intrinsic Parameters
Extrinsic Parameters
A small file showing the position of each camera relative to the field
We don't need extremely high resolution, just a preliminary, testable result.
What will be delivered:
Three calibration files (YAML or JSON)
A short scene video
A calibration footage video
A simple diagram of the camera positions
Requirements:
Experience with OpenCV Camera Calibration
Knowledge of multi-view geometry (intermediate level sufficient)
Ability to shoot in a small field
Related categories:
Python
CUDA
C++ Programming
OpenGL
Video Production
Video Editing
JSON
OpenCV
Data Extraction
Computer Vision