A Neuro-Fuzzy Crime Prediction Model Based on Video Analysis

查看全文 作　　者：ZOU [1,3]Beiji;Nurudeen [1,3]Mohammed;ZHU [2,3]Chengzhang;ZHANG [1,3]Ziqian;ZHAO [1,3]Rongchang;WANG [1,3]Lei

机构地区：[1]School of Information Science and Engineering, Central South University, Changsha 410083, China;[2]College of Literature and Journalism, Central South University, Changsha 410083, China;[3]Mobile Health Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China

出　　处：《Chinese Journal of Electronics》索引2018年第27卷第5期,共8页

基　　金：supported by the National Natural Science Foundation of China(No.61573380,No.61702559);the Fundamental Research Funds for the Central Universities of Central South University(No.2017zzts715,No.2017zzts723) 摘　　要：A hybrid neuro-fuzzy model for predicting crime in a wide area such as a town or district in presented.The model is built using what we describe as crime indicator events extracted from simulated wide area surveillance network. The framework principally involves two phases,namely video analysis and crime modeling phases. In video analysis a concept based approach for video event detection is used to detect crime indicator events. Based on the extracted indicators with other related variables, a fuzzy inference system capable of learning is constructed in the second phase. The model is constructed using Violent scene detection(VSD) 2014 dataset and testing is done using UCR-Videoweb dataset. The experimental results show that the proposed method is quite demonstrative and promising. 关键词：模糊推理系统录像模型预言指示物数据集事件模特儿

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A Neuro-Fuzzy Crime Prediction Model Based on Video Analysis

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