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  • Thesis

  • Authors: Yang, Danny Bon-Ray (2005)

  • Advances in CMOS fabrication have enabled low-cost camera nodes with limited communication and computation capabilities. By combining these capabilities within a small form-factor device, multi-camera networks can readily be built. However, cameras are high-data-rate devices, and many computer vision algorithms are computationally expensive, while these camera nodes are communication and computation constrained. In this dissertation, we present lightweight techniques for distributed scene analysis in such resource-constrained camera networks. We show that in this setting we can compute global aggregates from distributed local measurements. In particular we use the camera network to count and localize targets. Counting and localizing are useful in many applications in surveillance, ...