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Real-time stereoscopic object tracking on FPGA using neural networks
Linköping University, Department of Electrical Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering. Linköping University, The Institute of Technology.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Real-time tracking and object recognition is a large field with many possible applications. In this thesis we present a technical demo of a stereoscopic tracking system using artificial neural networks (ANN) and also an overview of the entire system, and its core functions.

We have implemented a system able of tracking an object in real time at 60 frames per second. Using stereo matching we can extract the object coordinates in each camera, and calculate a distance estimate from the cameras to the object.

The system is developed around the Xilinx ZC-706 evaluation board featuring a Zynq XC7Z045 SoC. Performance critical functions are implemented in the FPGA fabric. A dual-core ARM processor, integrated on the chip, is used for support and communication with an external PC. The system runs at moderate clock speeds to decrease power consumption and provide headroom for higher resolutions.

A toolbox has been developed for prototyping and the aim has been to run the system with a one-push-button approach. The system can be taught to track any kind of object using an eight bit 32 × 16 pixel pattern generated by the user. The system is controlled over Ethernet from a regular workstation PC, which enables it to be very user-friendly.

Place, publisher, year, edition, pages
2014. , 93 p.
Keyword [en]
FPGA, neuron, neural network, stereoscopic, tracking
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-110374ISRN: LiTH-ISY-EX--14/4789--SEOAI: oai:DiVA.org:liu-110374DiVA: diva2:747961
External cooperation
AnaCatum Design AB
Subject / course
Electronics Systems
Presentation
2014-08-25, Nollstället, 10:15 (English)
Supervisors
Examiners
Available from: 2014-09-25 Created: 2014-09-09 Last updated: 2014-09-25Bibliographically approved

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fulltext(14028 kB)553 downloads
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Department of Electrical EngineeringThe Institute of Technology
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf