Developed a multi-camera tracking framework that consistently follows individuals across both overlapping and non-overlapping camera views. The system combines motion and appearance features to maintain identity over time.
Hierarchical clustering is used to merge fragmented tracklets into unified identities. This work improves reliability in surveillance and large-scale monitoring environments.