Geometric structure in several spaces can be used to reduce processing and communication loads on tracking sensor arrays. A simple example is the use of foliage to track targets. We describe as an example tracking humans through the Duke forest. On a more abstract level, structure can be projected into spaces and can be embedded in multidimensional sensor head processing to reduce computational complexity. We compare the complexity of tracking on the Argus sensor array, a 64 video camera real-time imaging system in our lab, with tracking on simple motion sensor networks, such as a 20 sensor network we have installed in a tobacco warehouse adjacent to the Duke campus.
BiosketchDavid J. Brady is Director of the Fitzpatrick Center for Photonics and Communication Systems and Brian F. Addy Professor of Electrical and Computer Engineering in the Pratt School of Engineering at Duke University. Brady's research focuses on photonic systems for sensing, data storage, and communications. He leads the DISP group (www.disp.duke.edu), which builds interferometric and coherence sensors for 3D microscopy, infrared tomography and free space communications and sensor networks. At the Fitzpatrick Center, Brady focuses on undergraduate and graduate education in photonics, with a particular emphasis on optics as an information science and optics education as a bridge between physical and digital systems.
Brady holds a B.A. in physics and mathematics from Macalester College and M.S. and Ph. D. degrees in applied physics from the California Institute of Technology. He was on the faculty of electrical and computer engineering at the University of Illinois in Urbana-Champaign from 1990 until joining the Duke faculty in 2001.