Group 3 3.5 Background Invariant Laser-spot Detection and Tracking - - PowerPoint PPT Presentation

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Group 3 3.5 Background Invariant Laser-spot Detection and Tracking - - PowerPoint PPT Presentation

Group 3 3.5 Background Invariant Laser-spot Detection and Tracking for Embedded Systems, PI: L. Gupta, SIUC 1 Background Invariant Laser-spot Detection and Tracking for Embedded Systems PI: Lalit Gupta, Ph.D Professor, ECE, SIUC Students:


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Group 3

3.5 Background Invariant Laser-spot Detection and Tracking for Embedded Systems, PI: L. Gupta, SIUC

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Center for Embedded Systems

| An NSF Industry/University Cooperative Research Center

CONFIDENTIAL

Background Invariant Laser-spot Detection and Tracking for Embedded Systems

PI: Lalit Gupta, Ph.D Professor, ECE, SIUC Students: Yang Bai, Ph.D student, SIUC Ahmed Fadhil, Ph.D, SIUC Raghuveer Kanneganti, Ph.D student, SIUC Matthew M. Wilding & Steven E. Koenck Rockwell Collins

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Project Overview and Description

  • Develop a methodology to:
  • Accurately detect laser-spots in low-resolution images
  • Track the laser-spot in varying background and

illumination conditions.

  • Applications:
  • Smart Munitions: Targeting, Guiding, Counter-

measure

  • Robotics: Navigation

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http://www.popularmechanics.com/technology/military/research/8-laser-weapon-systems

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Approach

  • Detection
  • Filtering
  • Segmentation
  • Feature extraction – shape, color, intensity
  • Classification
  • Tracking
  • Background subtraction, Kalman filter, Particle filter

Initial Focus: Detect laser-spots in static and simple backgrounds. Subsequent Efforts: Dynamic, complex, and noisy backgrounds. Final goal: Embed the detection and tracking strategy into a multi- core processing architecture

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Project Status

  • Progress to date (new project)

– Acquired laser spots in varying backgrounds – Developed Intensity based segmentation – Implemented Kalman Filter

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Project Tasks/ Deliverables

Description Date Status

1 Study characteristics of laser-spots in varying backgrounds Ongoing 2 Develop laser-spot detection algorithms Ongoing 3 Develop laser-tracking algorithms Ongoing 4 Test detection and tracking algorithms in simple backgrounds Ongoing 5 Test detection and tracking algorithms in complex backgrounds including missing

  • bjects in frames

6 Embed the detection and tracking strategy into a multi-core processing architecture 6

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Executive Summary

  • Develop method to
  • Detect and track laser-spots
  • Applications
  • Military
  • Robotics
  • New applications

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http://www.fastcompany.com/welcome.html?destination=http://www.fastcompa ny.com/1823017/darpa-unveils-drone-slaying-war-laser

Acquisition Preprocessing Segmentation Feature Extraction Kalman Filter Detection Tracking Laser-spot location Scene