收稿日期: 2015-11-02
网络出版日期: 2017-10-30
基金资助
国家自然科学基金资助项目(61302151); 上海市自然科学基金资助项目(13ZR1455100)
Segmenting groups in crowd based on spatiotemporal restraint
Received date: 2015-11-02
Online published: 2017-10-30
易娴1,2, 董楠2, 魏建明2, 朱文浩1 . 基于时空信息约束的密集人群分割方法[J]. 上海大学学报(自然科学版), 2017 , 23(5) : 742 -751 . DOI: 10.12066/j.issn.1007-2861.1760
Pedestrians in crowded scenes can be seen as a collection of groups moving coherently. To segment the crowd into groups and analyze interactions between them, a method using group spatiotemporal relationships is proposed. Spatiotemporal information of crowds by modeling the background and tracking the feature points is acquired. Then the individuals are grouped according to aspatial neighborhood restraint. The groups are further divided by motion correlation over time. These two restraints work with each other effectively, and generate groups with coherent motion. Tests on many videos of real-world pedestrian scenes show that the method can be applied to a variety of scenes with different crowd densities and perspective of videos.
Key words： coherent motion; spatiotemporal restraint; sub-group; crowd segmentation
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