[1]彭臻,王田,李晨阳,等.采用蚁群算法的移动摄像头探访规划[J].华侨大学学报(自然科学版),2014,35(5):533-537.[doi:10.11830/ISSN.1000-5013.2014.05.0533]
 PENG Zhen,WANG Tian,LI Chen-yang,et al.Visit Schedule of Mobile Cameras Base on Ant Colony Optimization[J].Journal of Huaqiao University(Natural Science),2014,35(5):533-537.[doi:10.11830/ISSN.1000-5013.2014.05.0533]
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采用蚁群算法的移动摄像头探访规划()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第5期
页码:
533-537
栏目:
出版日期:
2014-09-20

文章信息/Info

Title:
Visit Schedule of Mobile Cameras Base on Ant Colony Optimization
文章编号:
1000-5013(2014)05-0533-05
作者:
彭臻 王田 李晨阳 钟必能 陈叶旺
华侨大学 计算机科学与技术学院, 福建 厦门 361021
Author(s):
PENG Zhen WANG Tian LI Chen-yangZHONG Bi-neng CHEN Ye-wang
College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China
关键词:
视频监控 最短路径 蚁群算法 路径规划 摄像头 安全
Keywords:
video surveillance shortest path ant colony optimization path planning camera security
分类号:
TP393
DOI:
10.11830/ISSN.1000-5013.2014.05.0533
文献标志码:
A
摘要:
规划了摄像头的移动路径,快速轮询所需要监控区域的热点,从而提高监控的有效性和安全性.定义一个最短轮询监控点的问题,证明该问题是NP-难的.设计了基于“视距蚂蚁”的蚁群算法,通过大量模拟实验证明:设计的算法是有效的,可以在近似最短距离的路径轮询到所有监控点.
Abstract:
Mobile cameras can raise the visual field to a great extent. This paper focuses on how to plan the movement path of the cameras so as to quickly visit the hot spots of the area to be monitored. The shortest route for the cameras is designed in order to improve the effectiveness and security. This paper defines a shortest polling monitoring point problem, which is proved to be NP-Hard. Finally, an ant colony optimization algorithm based on the stadia of ant is designed. Extensive simulation results validate the efficiency of the algorithm proposed. All of the monitoring point can be visited in almost the shortest distance.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-12-26
通信作者: 王田(1982-),男,讲师,主要从事物联网,无线传感网,智能视频监控的研究.E-mail:wsnman@gmail.com.
基金项目: 国家自然科学基金资助项目(61202468,61202299,61302094); 中央高校华侨大学高层次人才科研启动经费(12BS218); 华侨大学科技创新团队和领军人才支持计划(2014KJTD13); 福建省自然科学基金计划资助项目(2014J01240,2
更新日期/Last Update: 2014-09-20