A demonstration of tracking using dynamic neural fields on a programmable vision chip

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

  • Authors:
  • Julien N.P. Martel
  • Yulia Sandamirskaya
  • Piotr Dudek

Abstract

A demonstration is made of a programmable vision chip, containing an array of photosensors collocated with a processing circuitry and memory, implementing a Dynamic Neural Field (DNF) over a simple saliency map. The system detects and tracks moving objects with strong contrasts. The computation of the DNF's dynamics is performed entirely on the vision chip. The system solely outputs relevant information that has been processed on the array: the activity of the DNF and/or address-events corresponding to the coordinates of its bumps of activity.

Bibliographical metadata

Original languageEnglish
Title of host publicationICDSC 2016 - 10th International Conference on Distributed Smart Cameras
PublisherAssociation for Computing Machinery
Pages212-213
Volume12-15-September-2016
ISBN (Electronic)9781450347860
DOIs
Publication statusPublished - 12 Sep 2016
Event10th International Conference on Distributed Smart Cameras, ICDSC 2016 - Paris, France
Event duration: 12 Sep 201615 Sep 2016

Conference

Conference10th International Conference on Distributed Smart Cameras, ICDSC 2016
CountryFrance
CityParis
Period12/09/1615/09/16