摘要
全球反恐形势的不断加剧给公安反恐工作带来了严峻的挑战,公安机关必须建立多技术融合模型并加以运用。人工智能背景下公安反恐多技术融合模型包括恐怖主义袭击风险评估信息指标体系和评价模型、恐怖主义袭击信息识别技术方法模型、恐怖主义袭击信息防范模型,其中对可疑人、可疑物、可疑行为、可疑语音的技术研发为重中之重。通过建模等方法搭建起融合各技术、模型的一体化综合平台,为打击恐怖主义、提升公安工作质量和效率打下基础。以人工智能辅助公安机关反恐工作,其中的重要技术正是影响未来公安工作发展的关键所在。
The increasing needs of global anti-terrorism and the arrival of the era of artificial intelligence have brought serious challenges to the anti-terrorism work of public security.Studying on the construction multi-technology fusion model in public security anti-terrorism helps to solve many problems.The paradigm model includes the index system and the evaluation of risk assessment information on models of terrorism attack,the technology and methodological model of terrorism attack information identification,and the informative prevention model of terrorism attack,among which the research and development of technology for suspicious persons,suspicious objects,suspicious behavior and suspicious voices is the most important.Its application lies in the construction of an integrated platform integrating various technologies and models,thus laying a foundation for fighting terrorism and improving the quality and efficiency of public security work.
作者
肖军
XIAO Jun(College of Criminal Investigation,Southwest University of Political Science and Law,Chongqing401120;Guizhou Academy of Social Sciences,Guizhou Guiyang550002)
出处
《中国刑警学院学报》
2019年第4期12-17,共6页
Journal of Criminal Investigation Police University of China
基金
2018年重庆市教委科学技术研究项目(编号:KJQN201800301)
中国博士后科学基金第63批面上资助项目(编号:2018M633622XB)
关键词
人工智能
公安反恐
多技术融合模型
Artificial intelligence
Anti-terrorism of public security
Multi-technology fusion model