摘要
为了有效提升视频图像中人体运动目标跟踪的速度和准确性,提出一种基于改进CamShift算法和Kalman滤波器的快速运动目标跟踪算法。首先采用YCbCr颜色模型对典型CamShift跟踪算法的预处理过程进行改进,有效提高了人体运动目标检测的鲁棒性。然后通过结合Kalman滤波器实现运动目标的位置预测。仿真实验结果显示,相比其他基于CamShift的跟踪算法,提出的算法能够有效抑制噪声和背景的干扰,在目标跟踪的效果和准确性上均有一定的提高。
A fast moving target tracking algorithm based on improved CamShift algorithm and Kalman filter is proposed to improve the tracking speed and accuracy of human moving target in video image effectively.The YCbCr color model is used to improve the preprocessing process of the typical CamShift tracking algorithm,which can improve the robustness of human moving target detection effectively,and the Kalman filter is combined to realize the position prediction of the moving target.The simulation results show that,in comparison with other CamShift-based tracking algorithms,the proposed algorithm can suppress the noise and background interference effectively,and improve the tracking effect and accuracy of target to a certain extent.
作者
李晨
LI Chen(Department of Physical Education,Inner Mongolia University of Technology,Huhhot 010050,China)
出处
《现代电子技术》
北大核心
2019年第3期49-51,共3页
Modern Electronics Technique
