TelosCAM: Identifying Burglar Through Networked Sensor-Camera Mates with Privacy Protection
In this project, we design a networking system that integrates wireless module nodes (such as TelosB nodes) with legacy surveillance cameras to provide storage-effcient
and privacy-aware services of accurate, realtime tracking and identifying of the burglar who stole the property. In this system,a property owner will have a wireless module node (called secondary module)
attached to the property that s/he wants to protect. The secondary wireless module node will not store any personal information about the owner, nor any speci?c information about the property to be protected.
Each user of the system will also have a unique wireless module node (called primary module) that contains some security information about the user, thus should be privately held by the user and be kept to
the user always. Once a tracking process is triggered in privacy preserving manner, the secondary module will start sending out the alarm signal periodically. The alarm signal will be captured by some
surveillance wireless module, integrated with existing surveillance cameras. Using the trajectory information provided by the secondary wireless module node, and the videos captured by the surveillance cameras,
our system will then automatically pinpoint a burglar (e.g., a person or a car) that is more likely to carry the stolen property.
ShaoJie Tang, Xiang-Yang Li, HaiTao Zhang*, JianKang Han, GuoJun Dai, XingFa Shen. TelosCAM: Identifying Burglar Through Networked Sensor-Camera Mates with Privacy Protection. IEEE RTSS 2011.
Haitao Zhang, ShaoJie Tang, Xiang-Yang Li, and HuaDong Ma. Tracking and Identifying Burglar using Collaborative Sensor-Camera Networks. IEEE INFOCOM 2011-Mini.
Copyright © 2010,
Wireless Networking Research Lab, Department of Computer
Science, Illinois Institute of Technology