Mar 8, 2016 · The proposed group-level descriptors show promising results and potentials in multiple applications, including crowd dynamic monitoring, crowd ...

Crowd behavior can be better understood through inherent intra- and inter-group properties, such as collectiveness, stability, uniformity, and conflict. In this ...

Oct 22, 2024 · The proposed group-level descriptors show promising results and potentials in multiple applications, including crowd dynamic monitoring, crowd ...

The proposed group-level descriptors show promising results and potentials in multiple applications, including crowd dynamic monitoring, crowd video ...

This study shows that fundamental group-level properties, such as intra-group stability and inter-group conflict, can be systematically quantified by visual ...

3) Group-driven crowd scene understanding - We show that the proposed descriptors are effective in identifying the intrinsic group states (gases, fluids ...

Groups are the primary entities that make up a crowd. Understanding group-level dynamics and properties is thus scientifically important and practically ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

CVPR, 2014. Jing Shao, Chen Change Loy, and Xiaogang Wang. Learning Scene-Independent Group Descriptors for Crowd Understanding. TCSVT, 2016.

Wang, “Learning scene-independent group descriptors for crowd understanding,” IEEE Trans. Circuits Syst. Video. Technol., vol. 27, no. 6, pp. 1290–1303, 2016 ...