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NON-TRANSITORY COMPUTER READABLE RECORDING MEDIUM, TRAJECTORY GENERATION METHOD, AND INFORMATION PROCESSING APPARATUS

InventionPending
15Claims · 3 independent
§ Ⅰ

Dossier Overview

IPC Classification

G6T 7/246G6T 7/73

CPC Classification

G6T7/248G6T7/74G6T2207/10016G6T2207/30196G6T2207/30232G6T2207/30241

A non-transitory computer-readable recording medium has stored therein a trajectory generation program that causes a computer to execute a process including generating a fragmentary trajectory of the person based on the acquired analysis result calculating a feature amount based on a plurality of image frames associated with the generated fragmentary trajectory generating a plurality of representative clusters by clustering a plurality of specified fragmentary trajectories using a similarity of representative values of the calculated feature amounts of the plurality of image frames generating a plurality of subclusters obtained by clustering each of the plurality of clustered trajectories in each of the generated representative clusters using representative values of a plurality of poses of the person and setting the plurality of trajectories corresponding to the subcluster as a fragmentary trajectory of the same person based on a result of the plurality of generated subclusters.

Original (Chinese)

A non-transitory computer-readable recording medium has stored therein a trajectory generation program that causes a computer to execute a process including generating a fragmentary trajectory of the person based on the acquired analysis result calculating a feature amount based on a plurality of image frames associated with the generated fragmentary trajectory generating a plurality of representative clusters by clustering a plurality of specified fragmentary trajectories using a similarity of representative values of the calculated feature amounts of the plurality of image frames generating a plurality of subclusters obtained by clustering each of the plurality of clustered trajectories in each of the generated representative clusters using representative values of a plurality of poses of the person and setting the plurality of trajectories corresponding to the subcluster as a fragmentary trajectory of the same person based on a result of the plurality of generated subclusters.

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