摘要
在实现数码照相机自拍功能的基础上,提出了一种基于HSI模型单通道背景更新的运动物体检测方法。与传统方法对RGB图像或由RGB图像转换得到的灰度图像进行检测不同,本文对HSI模型中的亮度分量图像进行检测,这样既克服了直接对RGB图像进行检测运算量大的缺点,也克服了由RGB图像转换得到灰度图时信息丢失的问题。该方法运算简单,检测效果好,能够满足数码照相机自拍系统的自动聚焦运动物体的需要。
Based on realizing a self-timer system for the digital camera, this paper proposes a motion object detection method of single channel of HSI model based on background updating. Different from the traditional detection method which detects in the RGB image or detects iu the gray image which switch from the RGB image, this method detects the intensity, image of HSI model. Thus, it can resolve the problem of high computation which it would appear if we compute the RGB image. Moreover, it can resolve the problem of lose of information when switch the RGB image to the gray image. This method is simple and effective, meet the demand of self-timer system for the digital camera of focusing on motion object automatically.
出处
《微计算机信息》
2009年第3期306-308,共3页
Control & Automation
基金
基金申请人:潘保昌郑胜林曹晓均
基于视频的图像信息与自动化技术应用
基金颁发部门:国家自然科学基金委(60572078)
关键词
自拍系统
HSI模型
背景更新
目标检测
Self-timer system
HSI model
Background updating
Object detection