基于图像重建的智能监控系统教学实验平台设计

Design of an experimental teaching platform of intelligent video surveillance based on image reconstruction

针对当前高校计算机等相关学科教学手段多样化的特点,设计了基于超分辨重建技术的目标检测与跟踪教学平台.介绍了实验平台的硬件部分设计和构建,给出了基于视频序列超分辨率盲重建的图像预处理方法,提出了基于高斯混合模型的目标检测算法以及基于视觉显著性特性的目标跟踪算法.各个模块的实验结果表明该平台很好地满足计算机视觉相关课程的教学实践需要.

With a consideration of the characteristics of diversified teaching methods in computer science and other related disciplines in Chinese colleges and universities,an experimental teaching platform of intelligent video surveillance based on super resolution is developed in this paper. First of all,the design and construction of the hardware part are introduced. Secondly,an image preprocessing method based on super-resolution blind reconstruction of video sequences is proposed. Then,a target detection algorithm based on the Gauss mixture model and a target tracking algorithm based on the visual saliency feature are proposed. The experimental results of each module show that the platform can meet the needs of vision-related computer courses.