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VSNs thus produce much richer description of a situation of interest. Local processing extracts important information about the scene so the node transmits only intelligent data to the central station. These capturing, processing, and communication capabilities enable a wide range of vision-based applications. VSNs are useful for surveillance, smart rooms, and many others. Some of these applications are summarized below: • Public and commercial surveillance: VSNs may be used for monitoring public places such as parks, department stores, transport systems, and production sites for infrastructure malfunctioning, accident detection, and crime prevention [4, 5].
32. D. L. Donoho, “Compressed sensing,” IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, 2006. 33. M. Fornasier and H. Rauhu, “Compressive sensing,” in Handbook of mathematical methods in imaging, Springer, 2011, pp. 187-228. 34 2 Visual Sensor Nodes 34. J. W. D. Slepian, “Noiseless coding of correlated information sources,” IEEE Transactions on Information Theory, vol. 19, pp. 471-480, 1973. 35. A. D. Wyner and J. Ziv, “The rate-distortion function for source coding with side information at the decoder,” IEEE Transactions on Information Theory, vol.
Y. Charfi, B. Canada, N. Wakamiya and M. Murata, “Challenging issues in visual sensor networks,” IEEE Wireless Communications, pp. 44-49, 2009. 4. D. M. Sheen, D. L. McMakin and T. E. Hall, “Three-dimensional millimeter-wave imaging for concealed weapon detection,” IEEE Transactions on Microwave Theory and Techniques, vol. 49, no. 9, pp. 1581-1592, 2001. 5. J. Wang, C. Qimei, Z. De and B. Houjie, “Embedded wireless video surveillance system for vehicle,” in International Conference on Telecommunications, Chengdu, China, 2006.