Panoptes: Servicing Multiple Applications Simultaneously using Steerable Cameras

被引:15
作者
Jain, Shubham [1 ]
Viet Nguyen [1 ]
Gruteser, Marco [1 ]
Bahl, Paramvir [2 ]
机构
[1] Rutgers State Univ, WINLAB, New Brunswick, NJ 08901 USA
[2] Microsoft Res, Bangalore, Karnataka, India
来源
2017 16TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN) | 2017年
基金
美国国家科学基金会;
关键词
Camera; Scheduling; Virtual views; Smart infrastructure; Video analytics; Pan-Tilt-Zoom;
D O I
10.1145/3055031.3055085
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Steerable surveillance cameras offer a unique opportunity to support multiple vision applications simultaneously. However, state-of-art camera systems do not support this as they are often limited to one application per camera. We believe that we should break the one-to-one binding between the steerable camera and the application. By doing this we can quickly move the camera to a new view needed to support a different vision application. When done well, the scheduling algorithm can support a larger number of applications over an existing network of surveillance cameras. With this in mind we developed Panoptes, a technique that virtualizes a camera view and presents a different fixed view to different applications. A scheduler uses camera controls to move the camera appropriately providing the expected view for each application in a timely manner, minimizing the impact on application performance. Experiments with a live camera setup demonstrate that Panoptes can support multiple applications, capturing up to 80% more events of interest in a wide scene, compared to a fixed view camera.
引用
收藏
页码:119 / 130
页数:12
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