Date of Award
3-26-2020
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Michael A. Marciniak, PhD
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.
AFIT Designator
AFIT-ENG-MS-20-M-007
DTIC Accession Number
AD1094733
Recommended Citation
Boettiger, James P., "A Comparative Evaluation of the Detection and Tracking Capability Between Novel Event-Based and Conventional Frame-Based Sensors" (2020). Theses and Dissertations. 3154.
https://scholar.afit.edu/etd/3154