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Video-based crowd behaviour detection aims at tackling challenging problems such as automating and identifying changing crowd behaviours under complex real life situations. In this paper, real-time crowd anomaly detection algorithms have been investigated. Based on the spatio-temporal video volume concept, an innovative spatio-temporal texture model has been proposed in this research for its rich crowd pattern characteristics. Through extracting and integrating those crowd textures fromdoi:10.1049/ic.2015.0102 dblp:conf/icdp/0033X15 fatcat:vnm47zjowfg6pjqzlq6itfp45i