Tracking individuals is a prominent application in such domains like surveillance or smart environments. This paper provides\r\na development of a multiple camera setup with jointed view that observes moving persons in a site. It focuses on a geometrybased\r\napproach to establish correspondence among different views. The expensive computational parts of the tracker are hardware\r\naccelerated via a novel system-on-chip (SoC) design. In conjunction with this vision application, a hardware object request broker\r\n(ORB) middleware is presented as the underlying communication system. The hardware ORB provides a hardware/software\r\narchitecture to achieve real-time intercommunication among multiple smart cameras. Via a probing mechanism, a performance\r\nanalysis is performed to measure network latencies, that is, time traversing the TCP/IP stack, in both software and hardware ORB\r\napproaches on the same smart camera platform. The empirical results show that using the proposed hardware ORB as client and\r\nserver in separate smart camera nodes will considerably reduce the network latency up to 100 times compared to the software\r\nORB.
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