摘要
SWMVR是结合数字图像处理、数据挖掘、模式识别、人体形态学,针对小范围固定人群的视频识别模型。应用它设计了一个视频考勤系统,通过综合视频识别、IC卡手动打卡、考勤监督相结合,实现视频考勤。
A video attendance supervision system based on the synthetic weighted-multi-video- recognition model which based on integration of digital image processing is proposed, data mining, pattern recognition and human frame morphology. In this supervision system, integration of Synthetic video recognition with attendance supervision accomplish employee recognition.
出处
《计算机应用研究》
CSCD
北大核心
2005年第11期255-257,共3页
Application Research of Computers
基金
电子信息产业发展基金资助项目([200442]号)
关键词
SWMVR(加权综合视频识别模型)
PAM算法
视频考勤
加权识别
Synthetic Weighted-Multi-Video-Recognition Model （SWMVR）
Partitioning Around Method （ PAM ）
Video Supervision of Work Attendance
Weighted Recognition
