A human motion recognition and collaborative tracking algorithm

被引:0
作者
Xiong, Jing [1 ]
Liu, Zhijing [1 ]
Xue, Hongmin [1 ]
Tang, Guoliang [1 ]
Wang, Jing [1 ]
Zhu, Xudong [2 ]
机构
[1] School of Computer Science and Technology, Xidian University, Xi'an
[2] School of Information and Control, Xi'an University of Architecture and Technology, Xi'an
来源
Journal of Computational Information Systems | 2015年 / 11卷 / 04期
基金
中国国家自然科学基金;
关键词
Behavior recognition; Collaborative tracking; PSO; Wireless multimedia sensor networks;
D O I
10.12733/jcis13310
中图分类号
学科分类号
摘要
In this paper we address the problem of human motion recognition and relay tracking in Wireless Multimedia Sensor Networks (WMSN), and present a solution which combined the advantage of improved WMSN with single intelligent monitor as a three stages process: 1) deploying WMSN and dividing area groups; 2) recognizing motion targets behaviors as to select the anomalous one; 3) collaborative tracking the target until exceed the guard boundary. There are two types of monitors in WMSN: Behavior Recognition Monitor (BRM) and Collaborative Tracking Monitor (CTM), each monitor consists of three parts: camera sensor, intelligent module and wireless communication module. We compare our algorithm with several existing solutions. The experiment results show that our solution has a better accuracy and less energy consumption. 1553-9105/Copyright © 2015 Binary Information Press
引用
收藏
页码:1269 / 1276
页数:7
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