电子学报 ›› 2021, Vol. 49 ›› Issue (1): 77-84.DOI: 10.12263/DZXB.20191339

• 学术论文 • 上一篇    下一篇

异构视频传感器网络目标全视角覆盖估计模型

刘志敏1, 欧阳章东1, 王田2, 刘树锟3   

  1. 1. 湖南第一师范学院数学与计算科学学院, 湖南长沙 410205;
    2. 华侨大学计算机科学与技术学院, 福建厦门 361021;
    3. 湖南女子学院信息科学与工程学院, 湖南长沙 410004
  • 收稿日期:2019-12-04 修回日期:2020-05-29 出版日期:2021-01-25 发布日期:2021-01-25
  • 通讯作者: 欧阳章东
  • 作者简介:刘志敏 男,1983年7月生于湖南郴州,博士.现为湖南第一师范学院讲师,研究方向为无线视频传感网络、群智感知、雾计算.E-mail:zhiminl@qq.com;王田 男,1982年2月生于湖南汨罗,博士.现为华侨大学教授,研究方向为传感网络、传感云、物联网、雾计算.E-mail:adamwt@163.com;刘树锟 男,1980年11月生于河北沧州,博士.现为湖南女子学院教授.研究方向为云计算、虚拟化技术.E-mail:liu_shukun@csu.edu.com
  • 基金资助:
    湖南省自然科学基金(No.2019JJ50094,No.2017JJ2055,No.2018JJ2193)

Full-View Coverage Estimation in Heterogeneous Visual Sensor Networks

LIU Zhi-min1, OUYANG Zhang-dong1, WANG Tian2, LIU Shu-kun3   

  1. 1. College of Mathematics and Computational Science, Hunan First Normal University, Changsha, Hunan 410205, China;
    2. College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian 361021, China;
    3. College of Information Science and Enigneering, Hunan Women's University, Changsha, Hunan 410004, China
  • Received:2019-12-04 Revised:2020-05-29 Online:2021-01-25 Published:2021-01-25
  • Supported by:
     

摘要: 覆盖是评价视频传感器网络对监测区域感知质量的重要指标.与传统的覆盖问题不同,随着目标的移动,全视角覆盖需要从任意方向捕捉到目标的有效正面,其覆盖估计问题也更加复杂.目前,大量的研究工作主要假设同构节点随机部署在监测区域内以实现全视角覆盖,本文研究异构视频传感器网络全视角覆盖估计问题,为消除边界效应,提出了扩展监测区域及最大探测区域的概论,并推导出目标全视角覆盖估计模型,通过实验对场景仿真值及模型理论值进行比较分析,结果表明它们之间的平均绝对覆盖误差基本保持在6.5%以内.

 

关键词: 视频传感器网络, 覆盖估计, 全视角覆盖, 节点预测

Abstract: Coverage is an important metric for evaluating the sensing quality of visual sensor networks (VSNs).Unlike traditional coverage issues,full-view coverage requires to capture target’s effective face from any direction,and its coverage estimation issue is more complicated.At present,most of literatures assume that a great number of homogeneous visual sensors are randomly scattered in the monitoring area to achieve full-view.This paper studies the full-view estimation problem in heterogeneous VSNs.In order to eliminate the boundary effect,the concepts of extended monitoring area and maximum detection area are introduced.To evaluate the performance of the proposed full-view estimation expression,several simulation experiments are conducted to validate the theoretical results.The results show that the mean absolute coverage error between the theoretical values and the experimental values is controlled less than 6.5%.

Key words: heterogeneous visual sensor network, coverage estimation, full view coverage, node prediction

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