A point-oriented SORT variant with camera-motion compensation, altitude-aware assignment, trajectory classification, and reused-feature correlation filters reduces trajectory counting error to 15% on UP-COUNT-TRACK and 23% on DroneCrowd.
, author Bhat, G
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Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters
A point-oriented SORT variant with camera-motion compensation, altitude-aware assignment, trajectory classification, and reused-feature correlation filters reduces trajectory counting error to 15% on UP-COUNT-TRACK and 23% on DroneCrowd.