一种教室节能照明系统的人员识别算法  

Personnel Recognition Method of Energy-saving in Classroom Lighting System

作　　者：聂雄[1] 黄斌全 陈华[1] 

机构地区：[1]广西大学计算机与电子信息学院,广西南宁530004 [2]广西广播电视学校,广西南宁530031

出　　处：《电视技术》2011年第15期16-19,45,共5页Video Engineering

基　　金：广西高校人才小高地建设创新团队资助计划(桂教人[2007]71号);广西科学研究与技术开发计划项目(桂科攻0992002-23)

摘　　要：室内人员识别是教室照明节能系统中的关键技术。为确定教室内人员分布情况,对摄像头采集到的视频图像进行灰度化、二值化、中值滤波等处理。提出采用形态学的方法进行边界提取,结合改进的边界跟踪算法实现人物头部判别的算法。将该算法应用于教室节能照明系统,获得人员位置信息,然后对教室照明灯光进行控制,以节省电能。The classroom lighting indoor staff recognition is the key technology in energy-saving system. To determine the distribution of person in the classroom, the video images which are captured by camera are treated as gray processing, binary and median filtering. The method with morphological boundary extraction and combined with the improved boundary tracking algorithm figures for the head judge is proposed. The algorithm can be used in the classroom energy-efficient lighting system to access people location information, and then to control classroom lighting lights for power saving.

关 键 词：节能照明系统 室内人员识别 边缘检测 边界跟踪 

分 类 号：TN911.73[电子电信—通信与信息系统] TP274.2[电子电信—信息与通信工程]