摘要
针对当前的升降机平台人数超载检测以人工为主,存在人为因素干扰,弊端较为明显.提出一种基于计算机视觉图像的升降机平台人数统计方法.利用离散小波变换算法对采集的升降机平台图像进行去噪处理,通过高斯曲线拟合的方法进行人员头部图像特征提取.再把人员头部与背景轮廓区域灰度值的变化进行连续性分析,利用工人轮廓与背景轮廓的纹理特征有差异性,以及工人轮廓边缘像素的灰度值存在梯度变化这一特征,对人员头部进行分割,根据分割结果对人员特征区域进行标记和计数.实验结果表明,利用该方法能够准确地对升降机平台上的人数进行统计,误差低于5%,符合实际应用需求.
In view of the current number of lift platform overload detection is given priority to with artificial,manmade interference,disadvantages are more obvious.In this paper,a number of lift platform based on computer vision image statistical method.Using discrete wavelet transform algorithm to deal with the noise to collect images of lift platform,using the gaussian curve fitting method to image feature extraction,head using the head and the background grey value change is continuity of contour area.Workers contour with the contour of a background texture feature differences.Workers contour edge pixel gray value exists gradient change these three characteristics, to division head,according to the characteristics of personnel area marked segmentation result and counting.The experimental results show that the use of the method can accurately on the number of people on the elevator platform statistics,error less than 5%,can meet the demand of practical application.
出处
《微电子学与计算机》
CSCD
北大核心
2014年第6期184-188,共5页
Microelectronics & Computer
基金
上海市教育委员会科研创新项目(11YZ282)
上海市教育委员会民办高校科研项目(Z3100312001)
关键词
升降机平台
人数统计
计算机视觉
elevator platform
The number of statistics
Computer vision
