摘要
本文研究了基于计算机视觉技术的智能监控系统教学实验平台。文章介绍了该实验平台的硬件部分设计和构建,研究了基于该平台的运动目标检测方法和人与非人的识别方法、基于形心的运动目标跟踪方法,尤其研究得到了基于最小二乘法的预测跟踪算法和基于面积变化的预测跟踪有遮挡运动目标新方法。实验结果表明该平台满足了计算机视觉课程的教学实践需要。
A computer vision teaching platform for intelligent video surveillance is developed in this paper. The technology of detection the moving object,recognizing human and tracking object based on its center are researched. The method to predict and track object is studied by the least square method,and the new method to predict and track the moving object under occlusion is studied based on the change of the object area especially. The experiments show that the experimental intelligent video surveillance teaching platform satisfies the need of the computer vision education effectively.
出处
《电气电子教学学报》
2009年第2期88-91,共4页
Journal of Electrical and Electronic Education
关键词
计算机视觉
智能监控
教学平台
computer vision
intelligent video surveillance
teaching platform