基于DM642的自适应运动目标检测系统

Adaptive moving target detection system based on DM642

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。

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.