TRACKLET-BASED MULTI-COMMODITY NETWORK FLOW FOR TRACKING MULTIPLE PEOPLE

摘要

A method for continuously tracking multiple people partitioned into groups while preserving identities under global appearance constraints, wherein people's trajectories may intersect, and wherein only sparse appearance information is available is disclosed. Individual trajectories for each group identity are obtained by solving a layered tracklet-based multi-commodity flow (MCNF) programming problem, wherein tracklets are connected parts of splitted trajectories, wherein each trajectory is split at positions which are in the neighborhood of another, wherein said neighborhood encompasses locations within a predefined distance.