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基于DM642的自适应运动目标检测系统
引用本文:孟介成,吕虹,邓运生,刘德方.基于DM642的自适应运动目标检测系统[J].广西大学学报(自然科学版),2012,37(2):361-365.
作者姓名:孟介成  吕虹  邓运生  刘德方
作者单位:1. 安徽工程大学电气工程学院,安徽芜湖,241000
2. 安徽工程大学电气工程学院,安徽芜湖241000;安徽建筑工业学院电子与信息工程学院,安徽合肥230022
3. 阜阳师范学院计算机信息学院,安徽阜阳,236037
基金项目:国家自然科学基金资助项目,安徽省教育厅自然科学基金资助项目
摘    要:针对帧差法和背景差法的运动检测方法的不足以及运动检测系统中图象数据处理量大、算法复杂等特点,设计了以TMS320DM642为核心处理器运动目标检测系统硬件平台。运动目标检测算法采用三帧差法与背景差法相结合的方法,并使用一种类单高斯阈值求解的方法实现门限的自适应调整和运动目标的分割,弥补了帧差法和背景差法的缺陷,提高了检测的准确性。结果表明,该系统运行良好,能够准确地检测出运动目标。

关 键 词:TMS320DM642  运动目标检测  三帧差法  背景差法

Adaptive moving target detection system based on DM642
MENG Jie-cheng , LV Hong , DENG Yun-sheng , LIU De-fang.Adaptive moving target detection system based on DM642[J].Journal of Guangxi University(Natural Science Edition),2012,37(2):361-365.
Authors:MENG Jie-cheng  LV Hong  DENG Yun-sheng  LIU De-fang
Institution:1.College of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,China; 2.College of Electronics and Information Engineering,Anhui Institute of Architecture and Industry, Hefei 230022,China;3.College of Computer Information,Fuyang Teachers College,Fuyang 236037,China)
Abstract:Due to the drawback of Frame Differencing and Background Differencing,as well as the large quantity of image data and the complexity of algorithm in the motion detection system,a moving target detection system with the TMSC320DM642 as the core processor was designed,using three-frame difference and background difference to detect the moving objects.And a single Gauss threshold solving method was used to realize the adaptive threshold and break up the moving target to make up the defect of frame difference and background difference methods.The simulation results show that the system can accurately detect moving targets.
Keywords:TMSC320DM642  moving objects detection  three-frame differencing  background differencing
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