Gestalt laws based tracklets analysis for human crowd understanding

作者：

Highlights：

• A unified similarity measurement for spatiotemporal tracklets is proposed.

• The short-term group and long-term path can be learnt in a unified framework.

• A crowd analysis dataset is constructed to promote the study of crowd behavior.

摘要

•A unified similarity measurement for spatiotemporal tracklets is proposed.•The short-term group and long-term path can be learnt in a unified framework.•A crowd analysis dataset is constructed to promote the study of crowd behavior.

论文关键词：Similarity measurement,Group detection,Semantic regions,Hierarchical clustering

论文评审过程：Received 24 November 2016, Revised 15 April 2017, Accepted 11 June 2017, Available online 20 June 2017, Version of Record 21 November 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.06.020