Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques*
Zou Beiji, Nurudeen Mohammed, Chengzhang Zhu, Zhao Rongchang · International Journal of Computational Intelligence Systems · 2017
This paper presents a new approach to crime hotspot detection and monitoring.The approach consists of three phases' namely: video analysis, crime prediction and crime mapping.In video analysis, crime indicator events are modelled using statistical distribution of semantic concepts.In crime prediction, a neuro-fuzzy method is used to model indicator events.In crime mapping, kernel density estimation is used to detect crime hotspots.This approach is tested in a simulated platform using violent scene detection (VSD) 2014 dataset.