Full-View Coverage Estimation in Heterogeneous Visual Sensor Networks

被引：0
|
作者：
Liu Z.-M. [1 ]
Ouyang Z.-D. [1 ]
Wang T. [2 ]
Liu S.-K. [3 ]
机构：
[1] College of Mathematics and Computational Science, Hunan First Normal University, Changsha
[2] College of Computer Science and Technology, Huaqiao University, Xiamen
[3] College of Information Science and Enigneering, Hunan Women's University, Changsha
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 01期
关键词：
Coverage estimation; Full view coverage; Heterogeneous visual sensor network; Node prediction;
D O I：
10.12263/DZXB.20191339
中图分类号：
学科分类号：
摘要：
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%. © 2021, Chinese Institute of Electronics. All right reserved.
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页码：77 / 84
页数：7
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