摘要
目标跟踪一直是计算机视觉研究中的重点和难点，针对当前算法鲁棒性差、难以获得高精度的跟踪结果的局限性，设计了基于无线传感器网络的视频目标跟踪算法。首先多个传感器节点组成1个无线传感器网络。并通过无线传感网络收集目标信息，然后采用容积卡尔曼滤波算法对视频中的目标运动状态进行估计和跟踪，最后在Matlab2014平台上进行了视频目标跟踪仿真验证实验。结果表明，该算法可以对视频目标运动状态进行高精度的跟踪，提高了视频目标跟踪的鲁棒性，视频目标跟踪实时性可满足实际应用的要求，而且视频目标跟踪效果要明显优于对比算法，具有更高的实际应用价值。
Object tracking is the key and difficult point in the research of computer vision. Aiming at the difficulty of obtaining high precision tracking results in the current algorithms, a novel video object tracking algorithm based on wireless sensor networks is designed. Firstly, a number of sensor nodes form a wireless sensor network, and the target information is collected by the wireless sensor network, and secondly the cubature Kalman filter algorithm is used to estimate and track the moving state of the video target, at last, the simulation experiment of video target tracking is performed on Matlab 2014. The results show that the proposed algorithm can track the moving state of the video target with high accuracy, and improve the robustness of video target tracking. The real-time performance can meet the requirements of practical applications, and the video target tracking effect is better than the contrast algorithms, so it has higher practical values.
出处
《控制工程》
CSCD
北大核心
2018年第1期71-75,共5页
Control Engineering of China
