摘要
搭建了一个基于主动机器视觉平台的人脸跟踪与表情识别系统,并进行了相关实验研究。阐述了该平台的系统结构,以及实现人脸表情识别系统的关键功能模块。该系统在主动机器视觉平台基础上,对注意力选择的区域进行人脸检测,通过控制云台完成跟踪动作,并对人脸区域进行实时地表情识别。同时在实验平台上做了大量的人脸检测跟踪和表情识别实验,包括对复杂和简单背景下人脸跟踪及表情识别的准确性进行了实验,实验结果验证了平台的有效性。
A human face tracking and expression recognition system was built based on the active machine vision platform and the related experiments were performed. The system architecture and its key functional modules to realize the facial expression recognition were described. The system detects the human face area selected by the attention, tracks the face by controlling with PTZ, recognizes the facial expression real-timely, A lot of face tracking experiments were carried out on the system, including those in complex and simple background, proving the effectiveness of the system.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2013年第2期459-465,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
吉林省科技发展计划重点项目(20071152)