A Real Time Implementation on FPGA of Moving Objects Detection and Classification

Provided by: NORTH ATLANTIC UNIVERSITY UNION
Topic: Hardware
Format: PDF
In this paper, the authors propose real-time implementation on FPGA for moving objects detection and classification using Handel-C language; the results are shown in RGB video format. In the first part of their paper, they propose a GUI interface programmed using the visual C++ that facilitates the implementation for non-initiate users; from this GUI, the user can program/erase the FPGA or change filters or threshold parameters. The second part of this paper details the hardware implementation of real-time motion detection algorithm on a FPGA including the capture, processing and display stages using DK IDE.

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