• DocumentCode
    725331
  • Title

    PTZ Camera Scheduling for Selected Area Coverage in Visual Sensor Networks

  • Author

    Ling Guo ; Yuqing Zhu ; Deying Li ; Donghyun Kim

  • Author_Institution
    Dept. of Comput. Sci., California State Univ., Los Angeles, CA, USA
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    379
  • Lastpage
    388
  • Abstract
    Visual sensor networks (VSNs) can track multiple pedestrians and capture high-quality videos of the monitored area. Therefore, VSNs is ideal for providing good broadcast service. In sports broadcasting, a basic requirement for broadcasters is to report the significant events as quickly as possible when they take place. To meet this requirement, we propose the Camera Scheduling for selected area coverage problem (CamS). Considering that Pan-Tilt-Zoom (PTZ) camera sensor has the flexibility of configuring its angle of view in both horizontal and vertical dimensions, we apply PTZ camera sensors to solve CamS. A polynomial time optimal algorithm that schedules PTZ camera sensors elegantly is devised for CamS. We set many realistic application scenarios in simulation and thoroughly study how our algorithm´s performance is affected by different environmental parameters, including angle velocity, the number of camera sensors and the number of sub-areas.
  • Keywords
    cameras; scheduling; sensors; visual perception; PTZ camera scheduling; angle velocity; high-quality videos; multiple pedestrians; pan-tilt-zoom camera sensor; polynomial time optimal algorithm; selected area coverage; sports broadcasting; visual sensor networks; Bipartite graph; Cameras; Cams; Monitoring; Schedules; Sensors; Visualization; Maximum Weight Perfect Matching; PTZ camera; Selected Area Coverage; Visual sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
  • Conference_Location
    Columbus, OH
  • ISSN
    1063-6927
  • Type

    conf

  • DOI
    10.1109/ICDCS.2015.46
  • Filename
    7164924