Reconfigurable Threshold Logic Networks in FPGA for Moving Object Detection

Alex Pappachen James, Bhaskar Choubey, Kizheppatt Vipin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Threshold logic inspires from the principle of the firing of neurons mimicking synaptic connections of a binary neural network to create generalized logical functions for solving complex cognitive tasks such as object detection. We propose an implementation of modular and hierarchical threshold logic network in FPGA that aims to provide a low complexity near-sensor co-processing hardware solution for object detection in digital cameras. The proposed network has been designed and implemented on a Xilinx Zynq SoC. The solution is robust in terms of object detection even in the presence of high levels of occlusion, noise and illumination changes. The total power consumption of the design is estimated to be 8.6 W. Performance analysis of the detector IP core is thoroughly simulated on test databases for computer vision with real-world images. The object detection module ensures a high performance rate of about 5000 frames per second at 100 MHz clock frequency while processing 100 × 100 pixel images.

Original languageEnglish
Title of host publication2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages989-992
Number of pages4
ISBN (Electronic)9781728127880
DOIs
Publication statusPublished - Aug 2019
Event62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019 - Dallas, United States
Duration: Aug 4 2019Aug 7 2019

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2019-August
ISSN (Print)1548-3746

Conference

Conference62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019
CountryUnited States
CityDallas
Period8/4/198/7/19

Keywords

  • digital gates
  • neuron
  • Object detection
  • Reconfigurable architectures
  • threshold logic

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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