On-line configuration of large scale surveillance networks using mobile smart camera

机译：使用移动智能摄像机的大规模监控网络的在线配置

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摘要

Distributed camera networks represent an emerging trend for the incorporation of mobile smart cameras in next generation large-scale surveillance systems. To achieve the great benefits of mobile smart camera, two challenging issues, the limited computational capabilities of a smart camera and the energy constraints of its battery-powered mobile platform, should be faced. This paper investigates the computation-efficient algorithm for the on-line network configuration, and the energy-saving method to implement this configuration.We design DMSA, a distributed mean-shift based heuristic algorithm for optimal coverage in dynamic surveillance environment. DMSA presents a distributed camera configuration for adapting the varying surveillance requirement, which achieves computation efficiency as well as coverage performance by exploiting on the tracking-inspired local search and cluster-based cooperating coverage. Furthermore, we propose a point corresponding method to implement the dynamic configuration. The aims are to minimize the over-all energy consumption in implementing configuration and balance the energy distribution among camera nodes, which results in the extension of network's lifetime. Simulation results highlight the proposed solution's quick-response feature with respect to the related heuristic algorithm, and exhibit the solution's potential to prolong network's lifetime.

机译：分布式摄像头网络代表了将移动智能摄像头并入下一代大型监视系统的新兴趋势。为了获得移动智能相机的巨大利益，应该面临两个挑战性问题，即智能相机的有限计算能力以及其电池供电的移动平台的能源限制。本文研究了在线网络配置的高效计算算法以及实现该配置的节能方法。我们设计了DMSA，一种基于分布式均值漂移的启发式算法，用于动态监控环境中的最优覆盖。 DMSA提供了一种分布式摄像机配置，以适应不断变化的监视需求，通过利用启发式本地搜索和基于集群的协作覆盖范围，可实现计算效率以及覆盖范围的性能。此外，我们提出了一种实现动态配置的点对应方法。目的是最大程度地减少实施配置时的总体能耗，并平衡摄像机节点之间的能量分配，从而延长网络的使用寿命。仿真结果突出了所提出的解决方案相对于相关启发式算法的快速响应功能，并展示了该解决方案可以延长网络寿命。

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来源
《2013 Seventh International Conference on Distributed Smart Cameras》|2013年|1-6|共6页
会议地点 Palm Springs CA(US)
作者
Qiang Wang; Wu Jing; Long Chengnian;
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作者单位

Shanghai Jiao Tong University, Chinac;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Large Scale Coverage; Mobile Smart Cameras; On-line Configuration;

机译：大规模覆盖;移动智能相机;在线配置;;

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1. Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network [J] . Moy de Vitry Matthew, Kramer Simon, Wegner Jan Dirk, Hydrology and Earth System Sciences Discussions . 2019,第11期

机译：使用深卷积神经网络的监控摄像机可扩展的洪水水平趋势监测
2. Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network [J] . Hydrology and Earth System Sciences . 2019,第11期

机译：使用深卷积神经网络的监控摄像机可扩展的洪水水平趋势监测
3. Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network [J] . Matthew Moy de Vitry, Simon Kramer, Jan Dirk Wegner, Hydrology and Earth System Sciences . 2019,第11期

机译：使用深卷积神经网络的监控摄像机可扩展的洪水水平趋势监测
4. On-line configuration of large scale surveillance networks using mobile smart camera [C] . Qiang Wang, Wu Jing, Long Chengnian International Conference on Distributed Smart Cameras . 2013

机译：使用移动智能相机在线配置大规模监控网络
5. Large-scale network parameter configuration using on-line simulation framework. [D] . Ye, Tao. 2003

机译：使用在线仿真框架进行大规模网络参数配置。
6. A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities [O] . Lorena Calavia, Carlos Baladrón, Javier M. Aguiar, 2012

机译：智慧城市中密集摄像头网络的自主视频监控系统
7. 3D Surveillance – A Distributed Network of Smart Cameras for Real-Time Tracking and its Visualization in 3D [O] . Sven Fleck, Florian Busch, Peter Biber, 2008

机译：3D监视–用于实时跟踪的智能相机分布式网络及其3D可视化

On-line configuration of large scale surveillance networks using mobile smart camera

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