Suspicious Behavior Detection based on Case-Based Reasoning using Face Direction
Suspicious Behavior Detection based on Case-Based Reasoning using Face Direction
复制标题
基于基于案例的面部方向推理的可疑行为检测
DOI：
10.1109/sice.2006.315607
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
T. Yamaguchi
中科院分区：
文献类型：
--
作者：
Y. Miyanokoshi;E. Sato;T. Yamaguchi
提出了一种基于人体运动数据的可疑行为检测系统。近年来，随着我们生活空间的信息化和智能化.智能空间系统要对进入的人做出反应，需要对进入的人进行元素识别。为此，构建了基于案例推理的可疑行为检测系统。该系统运行在智能空间中，设置了多个摄像设备作为传感设备。利用DLT（直接线性变换）方法计算人体运动的三维坐标。作者描述了使用停留区域和停留时间作为输入的实验，并提出了使用人脸方向和移动速度作为输入的系统。
This paper proposes suspicious behavior detection system by human motion data. In recent years, as our living space become informatization and intelligent. The intelligent space system react to person who entered in, it needs elements recognition about them. Therefore, the authors constructed suspicious behavior detection system based on case based reasoning. This system run in intelligent space established many camera devices as sensing device. The authors calculate three-dimensional coordinates about human motion using DLT (direct linear transformation) method. The authors describe experiment using stay area and stay time as input and propose system using face direction and moving speed as