Exploring motion models, Kalman filtering, and particle filtering for robust visual object tracking.
Implementing ResNet-18 and U-Net architectures for fine-grained image classification and semantic segmentation.
Implementing, improving, tuning, and evaluating a correlation-filter visual tracker on the VOT dataset.
Detecting anatomical edges in filtered CT images by analysing sign changes between neighbouring pixels.
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.
Implementing and comparing Lucas–Kanade and Horn–Schunck optical flow with pyramidal and initialization improvements.