ABSTRACT
Wireless sensor networks (WSNs) play a crucial role in visual surveillance for automatic object detection, such as real-time traffic monitoring, vehicle parking control, intrusion detection,and so on. These online surveillance applications require efficient computation and distribution of complex image data over the wireless camera network with high reliability and detection rate in real time. Traditionally, such applications make use of camera modules capturing a flow of two dimensional images through time. The resulting huge amount of image data impose severe requirements on the resource constrained WSN nodes which need to store, process and deliver the image data or results within a certain deadline. In this paper we present a WSN framework based on line sensor architecture capable of capturing a continuous stream of temporal one dimensional image (line image). The associated one dimensional image processing algorithms are able to achieve significantly faster processing results with much less storage and bandwidth requirement while conserving the node energy. Moreover, the different operating modes offered by the proposed WSN framework provide the end user with different tradeoff in terms of node computation versus communication bandwidth efficiency. Our framework is illustrated through a testbed using IEEE 802.15.4 communication stack and a real-time operating system along with one dimensional image processing. The proposed line sensor based WSN architecture can also be a desirable solution to broader multimedia based WSN systems.
- IEEE 802.15.4 Standard-2003, "Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs)", IEEE-SA Standards Board, 2003.Google Scholar
- P. Kulkarni, D. Ganesan, P. Shenoy, Q. Lu, SensEye: a multi-tier camera sensor network, in: Proc. of ACM Multimedia, Singapore, November 2005. Google ScholarDigital Library
- S. Nath, Y. Ke, P.B. Gibbons, B. Karp, S. Seshan, A distributed filtering architecture for multimedia sensors, Intel Research Technical Report IRP-TR-04-16, AugustGoogle Scholar
- Wireless Multimedia Sensor Testbed. http://www.ece.gatech.edu/research/labs/bwn/WMSN/testbed.htmlGoogle Scholar
- M. Rahimi, R. Baer, O. Iroezi, J. Garcia, J. Warrior, D. Estrin, M. Srivastava, Cyclops: in situ image sensing and interpretation in wireless sensor networks, in: Proc. of the ACM Conf. on Embedded Networked Sensor Systems (SenSys), San Diego, CA, November 2005. Google ScholarDigital Library
- Carnegie Mellon Univ., CMUcam3 datasheet version 1.02, Pittsburgh, PA, Sep. 2007.Google Scholar
- S. Hengstler, D. Prashanth, S. Fong, and H. Aghajan, MeshEye: A hybrid-resolution smart camera mote for applications in distributed intelligent surveillance, in Proc. Int. Conf. Inf. Process. Sensor Netw. (IPSN), Cambridge, MA, 2007, pp. 360--369. Google ScholarDigital Library
- R. Kleihorst, B. Schueler, A. Danilin, and M. Heijligers, Smart camera mote with high performance vision system, in Proc. ACM SenSys Workshop Distrib. Smart Cameras (DSC), Boulder, CO, Oct. 2006.Google Scholar
- S. Itoh, S. Kawahito, and S. Terakawa, A 2.6 mW 2 fps QVGA CMOS one-chip wireless camera with digital image transmission function for capsule endoscopes, in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May 2006.Google Scholar
- Real Time Network Simulator. http://rtns.sssup.it/RTNSWebSite/RTNS.htmlGoogle Scholar
- WiSNAP: A Wireless Image Sensor Network Application Platform. S. Hengstler and H. Aghajan, 2nd Int. Conf. on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom), March 2006.Google Scholar
- P. Pagano, C. Nastasi, Y. Liang, The Multivision problem for Wireless Sensor Networks: a discussion about Node and Network architecture. In International Workshop on Cyber-Physical Systems Challenges and Applications (CPS-CA08). Proc. of the DCOSS 2008 conference., Santorini island, Greece, June 2008. Invited talk.Google Scholar
- J.Y. Zheng, S. Sinha, Line cameras for monitoring and surveillance sensor networks, ACM Conf. Multimedia 07, 433--442, Augsburg, Germany, 2007 Google ScholarDigital Library
- The Flex board. http://www.evidence.eu.com/.Google Scholar
- CMOS Image Sensor with Image Processing. HV7131GP www.globaltec.com.hk/databook/hynix/Hyca3_V20.pdfGoogle Scholar
- Low Power RF Transceiver CC2420. http://focus.ti.com/docs/prod/folders/print/cc2420.htmlGoogle Scholar
- E.R.I.K.A. http://erika.sssup.it/.Google Scholar
- P.Pagano et al, ERIKA and open-ZB: an implementation for real-time wireless networking. SAC 2009, 1687--1688. Google ScholarDigital Library
Index Terms
Wireless line sensor network for distributed visual surveillance
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