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Emotion-Based Crowd Representation for Abnormality Detection
[article]
2016
arXiv
pre-print
In crowd behavior understanding, a model of crowd behavior need to be trained using the information extracted from video sequences. Since there is no ground-truth available in crowd datasets except the crowd behavior labels, most of the methods proposed so far are just based on low-level visual features. However, there is a huge semantic gap between low-level motion/appearance features and high-level concept of crowd behaviors. In this paper we propose an attribute-based strategy to alleviate
arXiv:1607.07646v1
fatcat:bjaj67726vdlhhl75zdq2ztitu