Electrical and Computer Engineering, Department of
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Accessibility Remediation
If you are unable to use this item in its current form due to accessibility barriers, you may request remediation through our remediation request form.
First Advisor
Michael W. Hoffman
Second Advisor
Sina Balkir
Date of this Version
7-2018
Document Type
Thesis
Citation
D. Hong. Implementation of Vision Processing Tasks on a Smart Camera Platform Using Neighborhood Processors. Master’s thesis, University of Nebraska-Lincoln, Lincoln, Nebraska, July 2018.
Abstract
Two applications of vision processing on a smart camera platform using neighborhood processors are presented. A smart camera application of real-time trajectory calculation for tracking objects and predicting their path of motion by using a single intelligent camera or a dual camera system are designed, simulated and implemented. Another application of object recognition with a key points algorithm for detecting simple shaped objects and locating the camera position within a 3-D coordinate system via imaging by using artificial neural network is applied to provide quick and accurate processing on a neighborhood-level parallel processor or other limited vision chip. For all applications an emphasis has been placed on simplifying algorithmic requirements to allow implementation on processors with limited computational resources.
Advisors: Michael W. Hoffman and Sina Balkir
Comments
A thesis Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Electrical Engineering, Under the Supervision of Professors Michael W. Hoffman and Sina Balkir. Lincoln, Nebraska : July, 2018.
Copyright (c) 2018 Dingyi Hong