Sensor node localisation using a stereo camera rig

In this paper, we use stereo vision processing techniques to detect and localise sensors used for monitoring simulated environmental events within an experimental sensor network testbed. Our sensor nodes communicate to the camera through patterns emitted by light emitting diodes (LEDs). Ultimately, we envisage the use of very low-cost, low-power, compact microcontroller-based sensing nodes that employ LED communication rather than power hungry RF to transmit data that is gathered via existing CCTV infrastructure. To facilitate our research, we have constructed a controlled environment where nodes and cameras can be deployed and potentially hazardous chemical or physical plumes can be introduced to simulate environmental pollution events in a controlled manner. In this paper we show how 3D spatial localisation of sensors becomes a straightforward task when a stereo camera rig is used rather than a more usual 2D CCTV camera.

[1]  Dermot Diamond,et al.  Novel integrated paired emitter-detector diode (PEDD) as a miniaturized photometric detector in HPLC. , 2006, The Analyst.

[2]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[3]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[4]  J. Krumm,et al.  Multi-camera multi-person tracking for EasyLiving , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.

[5]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[6]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[7]  P. KaewTrakulPong,et al.  An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection , 2002 .

[8]  Srinivasan Seshan,et al.  IrisNet: An Architecture for a Worldwide Sensor Web , 2003, IEEE Pervasive Comput..

[9]  Michael A. Arbib,et al.  Camera localization methods for intelligent room systems using RF techniques , 2004, SPIE Optics East.

[10]  King Tong Lau,et al.  Low-Cost Surface-Mount LED Gas Sensor , 2006, IEEE Sensors Journal.

[11]  Noel E. O'Connor,et al.  Video analysis of events within chemical sensor networks , 2005 .

[12]  Dimitrios Lymberopoulos,et al.  Sensor Localization and Camera Calibration in Distributed Camera Sensor Networks , 2006, 2006 3rd International Conference on Broadband Communications, Networks and Systems.

[13]  Dermot Diamond,et al.  Monitoring chemical plumes in an environmental sensing chamber with a wireless chemical sensor network , 2007 .

[14]  David Murakami Wood,et al.  The Growth of CCTV: a global perspective on the international diffusion of video surveillance in publicly accessible space , 2002 .

[15]  Hamid K. Aghajan,et al.  Application Development in Vision-Enabled Wireless Sensor Networks , 2006, 2006 International Conference on Systems and Networks Communications (ICSNC'06).

[16]  Michael Harville,et al.  Stereo person tracking with adaptive plan-view templates of height and occupancy statistics , 2004, Image Vis. Comput..