Exploring motion models, Kalman filtering, and particle filtering for robust visual object tracking.
Implementing, improving, tuning, and evaluating a correlation-filter visual tracker on the VOT dataset.
Extending SiamFC into a long-term tracker and evaluating confidence thresholds with precision, recall, and F-score.
Implementing and improving a mean-shift visual tracker, then evaluating it on the VOT dataset.