Development of predictive safety system for child welfare facility based on behavior analysis by image technology

我们开发了基本的元素图像技术和行为检测技术，这是构建儿童危险行为检测系统所必需的。主要发展了以下几个方面。(1)人工检测。(2)幼儿步态分析。(3)红外深度图像传感器人体行为检测。(1)对于人的检测，我们试图提高检测的准确性和速度。(2)对于儿童的步态分析，我们研究了儿童和成人在跨越障碍物时步态模式的差异，发现了几个可以用来区分儿童和成人的特征。(3)对于红外深度图像传感器的人体行为检测，我们开发了通过检测人的头部位置来检测人在房间中的位置和姿势的技术。

We developed basic elemental image technology and behavior detection technology, which are necessary for the construction of the system that detects children's dangerous behaviors. Followings were developed mainly. (1) human detection. (2) children's gait analysis. (3) human behavior detection by infra-red depth image sensor. (1) For human detection, we tried to improve accuracy and speed of detection. (2) For children's gait analysis, we investigated differences in gait pattern between children and adults when they walk over obstacles, and we found several features that can be used to distinguish children from adults. (3) For human behavior detection by infra-red depth image sensor, we developed technology to detect the position and posture of a human in a room by detecting the position of human head.