Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
文献类型： 外文期刊
作者： Lei, Yang 2 ; Wu, Yuan 1 ; Chowdhury, Ahmad Jalal Khan 3 ;
作者机构： 1.Chongqing Acad Agr Sci, Chongqing 401329, Peoples R China
2.Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China
3.Int Islamic Univ Malaysia, Kulliyyah Fac Sci, Jalan Sultan Ahmad Shah, Kuantan 25200, Pahang Darul Ma, Malaysia
关键词： Wireless sensor network; intelligent traffic field; multi-target tracking; algorithm research; node; distributed tracking
期刊名称：OPEN PHYSICS （ 影响因子：1.8； 五年影响因子：1.4 ）
ISSN： 2391-5471
年卷期： 2018 年 16 卷 1 期
页码：
收录情况： SCI
摘要： The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. Based on the dynamic clustering structure, the measurement results of each sensor are the superimposed results of sound signals and environmental noise from multiple targets. During the tracking process, each target corresponds to a particle filter. When the target spacing is relatively close to each other, each master node realizes distributed multi-target tracking through information exchange. At the same time, it is also necessary to consider the overlap between adjacent frames. Since the moving target speed is too fast, the target occlusion has the least influence on the tracking accuracy, and can accurately track multiple targets. The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision.
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