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A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip

Martel, Julien N P; Sandamirskaya, Yulia; Dudek, Piotr (2016). A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip. In: 10th International Conference on Distributed Smart Camera, ICDSC 16, Paris, France, 12 September 2016 - 15 September 2016. Proceedings of the 10th ACM International Conference on Distributed Smart Camera, 212-213.

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.

Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Networks and Communications
Language:English
Event End Date:15 September 2016
Deposited On:27 Jan 2017 08:37
Last Modified:26 Jan 2022 11:49
Publisher:Proceedings of the 10th ACM International Conference on Distributed Smart Camera
Series Name:Proceedings of the 10th ACM International Conference on Distributed Smart Camera
Number of Pages:2
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/2967413.2974037
Official URL:http://dl.acm.org/citation.cfm?id=2974037
Project Information:
  • Funder: SNSF
  • Grant ID: 205321_143947
  • Project Title: Biological Information in Cortical Communication

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