南京理工大学学报（自然科学版）2017，Vol.41Issue(1)：41-46,6.DOI:10.14177/j.cnki.32-1397n.2017.41.01.006
高斯混合模型的运动目标检测与跟踪算法
Movement target tracking algorithm by using Gaussian mixture model
杜鹃 1吴芬芬2
作者信息
- 1. 黄河水利职业技术学院 信息工程系,河南 开封 475004
- 2. 河南交通职业技术学院 交通信息工程系,河南 郑州 451400
- 折叠
摘要
Abstract
Video object tracking is a key technology in computer vision research,and current video target tracking algorithms has defects such as low tracking precision,poor real-time,a novel video object tracking algorithm based on Gaussian Mixture model is proposed in this paper.Firstly,wireless sensor network is used to collect target information,and secondly Gaussian Mixture model is used to model video background while mean shift algorithm is used to track the target,finally,video object tracking simulation experiment is carried out on VC 6.0++.The results show that the propose algorithm can improve accuracy of video target tracking and fasten tracking speed which has good robustness to occlusion and illumination change,it has better performance than other video target tracking algorithms and has higher practical value.关键词
混合高斯算法/目标跟踪/无线传感器/节点协作/均值漂移算法/仿真实验Key words
Gaussian mixture model/target tracking/wireless sensor node/nodes collaboration/mean shift algorithm/simulation experiment分类
信息技术与安全科学引用本文复制引用
杜鹃,吴芬芬..高斯混合模型的运动目标检测与跟踪算法[J].南京理工大学学报（自然科学版）,2017,41(1):41-46,6.
