Coherent group detection in still image
Document Type
Article
Publication Date
6-1-2021
Abstract
Collective behaviors of coherent groups convey semantic relations among individuals in a crowd scene. Detecting coherent groups is primitive for crowd behavior analysis and practically useful in crowd surveillance. However, classically, crowd analysis in still image is focused on crowd counting estimation or crowd segmentation only. In this paper, we present a novel framework that merges these two classical approaches to achieve a higher level of crowd understanding, i.e., detecting coherent groups within a crowd in a still image. Essentially, in addition to crowd counting estimation, our work can infer crowd segments at both image-level and coherent group level. Extensive experiments and analysis of crowd scene images with a variety of crowd densities demonstrate the efficacy of the proposed framework. The proposed framework also shows its potential application, especially in crowd understanding.
Keywords
Crowd analysis, Coherent group detection, Crowd surveillance
Divisions
fsktm
Funders
National University of Malaysia (UKM) [FRGS/1/2019/ICT02/UKM/02/11]
Publication Title
Multimedia Tools and Applications
Volume
80
Issue
14
Publisher
Springer
Publisher Location
VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS