The case for multi-tier camera sensor networks

Proceedings of the International Workshop on Network and Operating System Support for Digital Audio and Video

Volumn , Issue , 2005, Pages 141-146

  Kulkarni, Purushottam ^a   Ganesan, Deepak ^a   Shenoy, Prashant ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

Multi tier sensor networks; Video sensors

Indexed keywords

MULTI-TIER CAMERA SENSOR NETWORKS; WIRELESS RADIO TECHNOLOGIES;

CAMERAS; COST EFFECTIVENESS; EMBEDDED SYSTEMS; WIRELESS TELECOMMUNICATION SYSTEMS;

SENSORS;

EID: 29844438527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1065983.1066016     Document Type: Conference Paper

References (18)

1. W. Feng, B. Code, E. Kaiser, W. Feng, and M. L. Baillif. Panoptes: Scalable Low-Power Video Sensor Networking Technologies. In ACM Transactions on Multimedia Computing, Communications and Applications, January 2005.
2. FFmpeg Multimedia System, http://ffmpeg.sourceforge.net/
3. A. Gamal and L. J. Guibas. Collaborative Visual Sensor Networks, http://mediax.stanford.edu/projects/cvsn.html
4. D. Ganesan, R. Cristescu, and B. Beferull-Lozano. Power Efficient Node Placement and Transmission Structure for Data Gathering under Distortion Constraints. In IPSN, 2004.
5. GStreamer: Open Source MultiMedia Framework. http://gstreamer. freedesktop.org/
6. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, and K. Pister. System architecture directions for networked sensors. In Proceedings of ASPLOS-IX, November 2000.
7. C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In Proceedings of ACM Mobicom, Boston, MA, USA, August 2000.
8. D. Lymberopoulos and A. Savvides. XYZ: A Motion-Enabled, Power Aware Sensor Node Platform for Distributed Sensor Network Applications. In IPSN SPOTS, April 2005.
9. Movement Video Capture. http://www.turbolinux.com.cn/merlin/mvc/
10. Open Source Computer Vision Library. http://www.intel.com/research/mrl/ research/opencv/
11. J. Polastre, R. Szewczyk, C. Sharp, and D. Culler. The Mote Revolution: Low Power Wireless Sensor Network Devices. In Proceedings of Hot Chips 16: A Symposium on High Performance Chips, August 2004.
12. M. Rahimi, D. Estrin, R. Baer, H. Uyeno, and J. Warrior. Cyclops, Image Sensing and Interpretation in Wireless Networks. In Proceedings of ACM Sensys 2004, 2004.
13. A. Rowe, C. Rosenberg, and I. Nourbakhsh. A Low Cost Embedded Color Vision System. In Proceedings of the IROS Conference, 2002.
14. Spec Mote. http://www.jlhlabs.com/jhill_cs/spec/
15. Stargate Platform. http://platformx.sourceforge.net/
16. X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill. Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks. In Proceedings of ACM SenSys, November 2003.
17. Y. Wu, E. Y. Chang, K. C.-C. Chang, and John R. Smith. Optimal Multimodal Fusion for Multimedia Data Analysis. In ACM International Conference on Multimedia, October 2004.
18. T. Yang, T. He, and J. Stankovic. Differentiated Surveillance for Sensor Networks. In Proceedings of ACM SenSys, November 2003.