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There is a great demand for automated systems which can easily investigate the behavior of crowd using video surveillance. Crowd exploration is critical for human comportment investigation, well-being science, and computational recreation and computer vision applications. Numerous techniques have been proposed in this area by many researchers. In aggregation of the activities, the analysis of human behavior in crowd has numerous substantial qualities like speed, heading of movement, cooperation power, and vitality. In this way, a ton of techniques and models inspired from such physical thoughts are connected in numerous systems for identifying crowd comportment investigation. This paper reviews some of methods based on physical techniques for crowd investigation in detail. On the basis of such physics, here crowd analysis is outlined into three major classes, viz., interaction force, complex situations of crowd movement frameworks and fluid dynamics. Some crowd-based databases are analyzed in this paper along with future work directions. |
