Cherrad Benbouchama
École Militaire Polytechnique

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A Real-Time Implementation of Moving Object Action Recognition System Based on Motion Analysis Kamal Sehairi; Cherrad Benbouchama; Kobzili El Houari; Chouireb Fatima
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 5, No 1: March 2017
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v5i1.261

Abstract

This paper proposes a PixelStreams-based FPGA implementation of a real-time system that can detect and recognize human activity using Handel-C. In the first part of our work, we propose a GUI programmed using Visual C++ to facilitate the implementation for novice users. Using this GUI, the user can program/erase the FPGA or change the parameters of different algorithms and filters. The second part of this work details the hardware implementation of a real-time video surveillance system on an FPGA, including all the stages, i.e., capture, processing, and display, using DK IDE. The targeted circuit is an XC2V1000 FPGA embedded on Agility’s RC200E board. The PixelStreams-based implementation was successfully realized and validated for real-time motion detection and recognition.