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Multiple target localization in wireless visual sensor networks

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Abstract

Target localization is an important service in wireless visual sensor networks (WVSN). Although the problem of single target localization has been intensively studied, few consider the problem of multiple target localization without prior target information in WVSN. In this paper, we first investigate the architecture of WVSN where data transmission is reduced to only target positions. Since target matching is a key issue in the multiple target localization, we propose a statistical method to match corresponding targets to located targets in world coordinates. In addition, we also consider scenarios where occlusion or limited field of view (FOV) occurs. The proposed method utilizes target images to the greatest extent. Our experimental results show that the proposed method obtains a more accurate result in targets localization compared with the camera discard scheme, and saves significant amounts of energy compared with other feature matching schemes.

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References

  1. Charfi Y, Wakamiya N, Murata M. Challenging issues in visual sensor networks. IEEEWireless Communications, 2009, 16(2): 44–49

    Article  Google Scholar 

  2. Liu L, Zhang X, Ma H D. Optimal node selection for target localization in wireless camera sensor networks. IEEE Transactions on Vehicular Technology, 2010, 59(7): 3562–3576

    Article  Google Scholar 

  3. Massey T, Kapur R, Dabiri F, Vu L N, Sarrafzadeh M. Localization using low-resolution optical sensors. The 4th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, 2007

    Google Scholar 

  4. Mao G Q, Fidan B, Anderson B.Wireless sensor network localization techniques. Computer Networks, 2011, 51(10): 2529–2553

    Article  Google Scholar 

  5. Rajeev S, Ananda A, Mun C, Wei T. Mobile, wireless, and sensor networks: technology, applications, and future directions. JohnWiley and Sons, 2005

    Google Scholar 

  6. Chan F, Wen C Y. Adaptive AOA/TOA localization using fuzzy particle filter for mobile WSNs. 2011 IEEE the 73rd Vehicular Technology Conference, 2011

    Google Scholar 

  7. Jajamovich G H, Wang X D. Joint multi-target tracking and sensor localization in collaborative sensor networks. IEEE Transactions on Aerospace and Electronic Systems, 2005, 47(4): 2361–2375

    Article  Google Scholar 

  8. Hu J W, Xie L H, Zhang C. Energy-based multiple target localization and pursuit in mobile sensor networks. IEEE Transactions on Instrumentation and measurement, 2012, 61(1): 212–220

    Article  MathSciNet  Google Scholar 

  9. Mantzel W, Choi H, Baraniuk R. Distributed camera network localization. Asilomar Conference on Signals, Systems and Computers, 2004

    Google Scholar 

  10. Li W, Portilla J, Moreno F, Liang G X, Riesgo T. Improving target localization accuracy of wireless visual sensor networks. In: Proceedings of the 37th IEEE Industrial Electronics Conference, 2011

    Google Scholar 

  11. Zhang Z, Deriche R, Faugeras O, Luong Q T. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence, 1995, 78(1): 87–119

    Article  Google Scholar 

  12. Schmid C, Mohr R. Local gray value invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(5): 530–534

    Article  Google Scholar 

  13. Devarajan D, Radke R J, Chung H. Distributed metric calibration of ad hoc camera networks. ACM Transactions on Sensor Networks, 2006, 2(3): 380–403

    Article  Google Scholar 

  14. Lowe D G. Distinctive image features from scale-invariant key points. International Journal of Computer Vision, 2004, 60(2): 91–110

    Article  Google Scholar 

  15. Sheng X, Hu Y H. Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. IEEE Transactions on Signal Processing, 2005, 53(1): 44–53

    Article  MathSciNet  Google Scholar 

  16. Farrell R, Garcia R, Lucarelli D, Terzis A, Wang I J. Target localization in camera wireless networks. Pervasive and Mobile Computing, 2009, 5(2): 165–181

    Article  Google Scholar 

  17. Medeiros H, Iwaki H, Park J. Online distributed calibration of a large network of wireless camera using dynamic clustering. In: Proceedings of the 2nd ACM/IEEE International Conference on Distributed Smart Cameras, 2008

    Google Scholar 

  18. Kurillo G, Li Z, Bajcsy R. Wide-area external multi-camera calibration using vision graphs and virtual calibration object. In: Proceedings of the 2nd ACM/IEEE International Conference on Distributed Smart Cameras, 2008

    Google Scholar 

  19. Akyildiz I F, Melodia T, Chowdury K R. A survey on wireless multimedia sensor networks. IEEE Wireless Communications, 2007, 14(6): 32–39

    Article  Google Scholar 

  20. Akyildiz I F, Melodia T, Chowdhury K R. A survey on wireless multimedia sensor networks. Computer Networks, 2007, 51(4): 921–960

    Article  Google Scholar 

  21. Ertin E, Fisher J, Potter L. Maximum mutual information principle for dynamic sensor query problems. In: Proceedins of the 2nd International Workshop on Information Processing in Sensor Networks, 2003

    Google Scholar 

  22. Ercan A, Yang D, El Gamal A, Guibas L. Optimal placement and selection of camera network nodes for target localization. Distributed Computing in Sensor Systems, 2006, 389–404

    Chapter  Google Scholar 

  23. Heinzelman W. Application-specific protocol architectures for wireless networks. PhD dissertation, Massachusetts Institute of Technology, 2000

    Google Scholar 

Download references

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Correspondence to Wei Li.

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Wei Li received his BS and PhD from Beijing Institute of Technology, Beijing, China, in 2003 and 2008, respectively. He was a postdoctoral member at the Center of Industrial Electronics, Polytechnic University of Madrid from 2010–2011. He is currently an associate professor in control theory and application at the Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China. His research interests include wireless sensor networks, camera sensor networks, and swarm intelligence.

Wei Zhang recived his BS, MS, and PhD from the University of Electronic Science and Technology of China (UESTC), Chengdu, in 1996, 1999, and 2004, respectively. He was a postdoctoral member in the Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, from 2005 to 2007. He was a visiting scholar in the University of Delaware, USA, from 2010 to 2011. Now he is an associate professor at the Research Institute of Electronic Science and Technology, UESTC. His research interests include system analysis and simulation, target signature modeling and extraction, and high speed signal processing.

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Li, W., Zhang, W. Multiple target localization in wireless visual sensor networks. Front. Comput. Sci. 7, 496–504 (2013). https://doi.org/10.1007/s11704-013-2197-0

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  • DOI: https://doi.org/10.1007/s11704-013-2197-0

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