High Precision Card Tracking in Video

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.