An embedded FPGA-SoC framework and its usage in moving object tracking application.

Moving object tracking is a computation-intensive operation that requires accelerating hardware solution. In this work, a high-performance design for mean shift based moving object tracking algorithm and its FPGA implementation is done. Here, associated circuits are utilized as intellectual-property cores to implement an embedded system-on-a-chip (SoC) framework for real-time moving object tracking application. Real-time video with 640 × 480 resolution at 60 frames per second is captured and buffered in SDRAM, and processing is performed on the temporal frames. In the implemented FPGA-SoC framework, PowerPC processor embedded inside the FPGA device is used for the platform configuration, IPs control, and running the application program. The design require 30.08% slices, 35.14% BRAMs, and 43.75% DSP48E slices of Xilinx Virtex-5 xc5vfx70t FPGA device on the ML-507 platform. The computed power is 48.3 mW. [ABSTRACT FROM AUTHOR]