A Comparative Evaluation of the Detection and Tracking Capability Between Novel Event-Based and Conventional Frame-Based Sensors

Abstract

Traditional frame-based technology continues to suffer from motion blur, low dynamic range, speed limitations and high data storage requirements. Event-based sensors offer a potential solution to these challenges. This research centers around a comparative assessment of frame and event-based object detection and tracking. A basic frame-based algorithm is used to compare against two different event-based algorithms. First event-based pseudo-frames were parsed through standard frame-based algorithms and secondly, target tracks were constructed directly from filtered events. The findings show there is significant value in pursuing the technology further.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1094733

Entities

People

  • James Boettiger

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Satellites
  • Complementary Metal-Oxide Semiconductors
  • Computer Vision
  • Detection
  • Detectors
  • Kalman Filters
  • Light Sources
  • Long-Wavelength Infrared Radiation
  • Low Earth Orbits
  • Measurement
  • Semiconductors
  • Space Situational Awareness
  • Three Dimensional
  • Unmanned Aerial Vehicles
  • Visible Spectra

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Life Cycle Cost Analysis
  • Sensor Fusion and Tracking Systems.