Hardware Assisted Video Tracking

نویسندگان

  • Matt Jacobsen
  • Mike Rose
چکیده

We describe an implementation of video tracking using FPGA hardware and embedded software to track a target in real-time from a 640x480 @ 60 Hz video stream with less than 17 ms latency. The implementation runs primarily on the FPGA using a soft core CPU to support embedded software execution and a custom IP core to acquire and update video stream pixel data. This embedded implementation performs tracking 60 times faster than the same tracking algorithm run on a workstation.

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تاریخ انتشار 2009