High Precision Card Tracking in Video
Budget: $15 – $25 USD
We're looking to develop a comprehensive card tracking system for video surveillance with a high level of accuracy.
The project entails the following:
- Deploying a fast and precise tracking algorithm to identify and follow playing cards in a recorded video.
- Adjusting for card-related variations such as orientation, scale, and luminance.
- Ensuring high accuracy identification despite potential motion blur, occlusions or unpredictable card movements.
- Optimizing for real-time performance without sacrificing precision.
This project demands advanced expertise in video processing, object tracking algorithms, and machine learning. Experience with card games and understanding card dynamics in a real-world scenario would also be beneficial. Accuracy, speed, and robustness are the crucial elements we're looking for in this role.
The project entails the following:
- Deploying a fast and precise tracking algorithm to identify and follow playing cards in a recorded video.
- Adjusting for card-related variations such as orientation, scale, and luminance.
- Ensuring high accuracy identification despite potential motion blur, occlusions or unpredictable card movements.
- Optimizing for real-time performance without sacrificing precision.
This project demands advanced expertise in video processing, object tracking algorithms, and machine learning. Experience with card games and understanding card dynamics in a real-world scenario would also be beneficial. Accuracy, speed, and robustness are the crucial elements we're looking for in this role.
Related categories:
C Programming
Matlab and Mathematica
Algorithm
Machine Learning (ML)
C++ Programming