01323nas a2200133   4500008004100000020001800041245004900059210004900108260004700157520089700204100001501101700002101116856005201137       2004                        eng d  a0-7695-2108-800aCollaborative Vision Using Networked Sensors0 aCollaborative Vision Using Networked Sensors  aWashington, DC, USAbIEEE Computer Society3 a<p>Large numbers of sensors networked together form a powerful infrastructure for a wide variety of applications in health, military, home, manufacturing, and disaster areas. Networked video sensors over a geographical area can automatically detect the objects in that geographical area. However, real-time central processing of the large amount of data generated by the individual image sensors places significant demands on the bandwidth and the central processor. In this paper, we address this issue by introducing a novel concept of super-sensor that is based on selforganization and collaboration between several tens of sensors. As an example, we describe a histogram calculation that uses recursive doubling for global collaboration between sensors. We compare the performance of our networked super-sensor with conventional image processing algorithms run on a single processor</p>
1 aDantu, Ram1 aJoglekar, Sachin  uhttp://dl.acm.org/citation.cfm?id=977403.978444