现代传感技术的运动轨迹实时跟踪研究

Research on motion trajectory real-time tracking based on modern sensor technology

针对运动轨迹实时跟踪方法在图像处理部分具有一定的不足,造成跟踪效果不佳的问题急需改进,设计基于现代传感技术的运动轨迹实时跟踪方法。完成光传感器选型工作,设定光线矫正函数并使用此设备获取运动图像,采用灰度阈值分割法完成运动目标检测,在确定运动目标后,使用Kalman滤波算法对图像进行处理并完成运动目标跟踪,通过与目前使用的跟踪方法对比可知,所设计方法的跟踪效果更好,可有效弥补原有方法的不足。

The motion trajectory real-time tracking method has some shortcomings in the image processing,which leads to poor tracking effect.In view of this,a motion trajectory real-time tracking method based on modern sensor technology is designed.In the design,the model selection of optical sensors is done,the light correction function is set,and the motion images are obtained with it.The gray threshold segmentation method is adopted to achieve the moving object detection.After the determination of moving object,the Kalman filtering algorithm is used to process the images and complete the tracking of moving object.Contrast experiments were performed to compare the proposed method with the current tracking methods.The results show that the tracking effect of the former is better,which can effectively make up for the shortcomings of the original method.