[1]夏 凡,王 宏.基于局部异常行为检测的欺骗识别研究[J].智能系统学报,2007,2(5):12-19.
XIA Fan,WANG Hong.Methodologies for deception detection based on abnormal b ehavior[J].CAAI Transactions on Intelligent Systems,2007,2(5):12-19.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第5期
页码:
12-19
栏目:
学术论文—机器感知与模式识别
出版日期:
2007-10-25
- Title:
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Methodologies for deception detection based on abnormal b ehavior
- 文章编号:
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1673-4785(2007)05-0012-08
- 作者:
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夏 凡 ,王 宏
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清华大学智能技术与系统国家重点实验室,北京100084
- Author(s):
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XIA Fan, WANG Hong
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State Key Laboratory of Intelligent Technology and Systems, Tsinghua University , Beijing 100084, China
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- 关键词:
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情感计算; 欺骗识别; 计算机视觉; 智能系统
- Keywords:
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affective computing; deception detection; computer vision; intelligent systems
- 分类号:
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TP391.4
- 文献标志码:
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A
- 摘要:
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?
基于局部异常行为检测的欺骗识别研究是计算机视觉与情感计算领域中的一个新兴课题,其核心是利用计算机视觉技术从视频中检测、跟踪人的局部动作并进行分析,得出检测对象欺骗的可能性.它在安全监控、辅助面试、情感合成等领域均有着广阔的应用前景.从视觉技术的发展水平和常用处理方法入手,对欺骗识别研究的几个典型问题的研究现状进行了综述,并归纳了欺骗识别研究所涉及的相关理论与技术方案,最后结合课题研究给出了该研究的难点、急需解决的若干重要问题及未来的发展趋势.
- Abstract:
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Research on deception detection based on visual cues for abnormal beha vior is a new project in the area of computer vision and affective computing res earch. This research aims at detecting and tracking an individual’s behavior vi a computer vision technology and analyzing the probability of it being deceptive . This has many promising applications in areas such as security surveillance, a utomated interview assistants, emotion synthesis, etc. This paper primarily foc uses on overall methods and general characteristics of computer vision related t o the detection process. A discussion on research challenges and future directio ns is also provided at the end of the paper.
更新日期/Last Update:
2009-05-07