Anomalous entities detection and localization in pedestrian flows
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DOI: 10.1016/j.neucom.2018.02.045
Abstract: Abstract We propose a novel Gaussian kernel based integration model (GKIM) for anomalous entities detection and localization in pedestrian flows. The GKIM integrates spatio-temporal features for efficient and robust motion representation to capture the distinctive… read more here.
Keywords: detection; localization pedestrian; anomalous entities; entities detection ... See more keywords