Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the advent of autonomous machines, the need for real time video processing is becoming an increasingly important issue. Although technological advances have brought us closer to achieving this goal, they are often based on expensive and uniquely designed hardware solutions. It can be argued that as the complexity of image processing increases, it becomes more desirable to focus on portability and cost effective processing strategies. In this paper, we present a biologically inspired processing strategy that can be integrated with common, cost-effective image hardware. The results demonstrate that this approach can achieve a six-fold speedup, against a traditional image processing strategy, without any hardware modifications and a ten-fold speedup on adapted hardware. Alongside this, we present a novel type of processing that is used to detect video features in a space-time continuum. The results of this also demonstrate real-time processing potential and appear promising for motion focused tasks such as robot navigation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages8
Publication statusAccepted/In press - 30 Jun 2017
EventIrish Machine Vision and Image Processing -
Duration: 30 Jun 2017 → …

Conference

ConferenceIrish Machine Vision and Image Processing
Period30/06/17 → …

Fingerprint

Sampling
Hardware
Processing
Image processing
Costs
Navigation
Robots

Keywords

  • Fast Video Processing
  • Spiral Coordinate System
  • Eye Tremor
  • Edge Detection
  • Space-time Processing

Cite this

@inproceedings{4b7133deaf7b48e29614382a73fc980f,
title = "Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme",
abstract = "In the advent of autonomous machines, the need for real time video processing is becoming an increasingly important issue. Although technological advances have brought us closer to achieving this goal, they are often based on expensive and uniquely designed hardware solutions. It can be argued that as the complexity of image processing increases, it becomes more desirable to focus on portability and cost effective processing strategies. In this paper, we present a biologically inspired processing strategy that can be integrated with common, cost-effective image hardware. The results demonstrate that this approach can achieve a six-fold speedup, against a traditional image processing strategy, without any hardware modifications and a ten-fold speedup on adapted hardware. Alongside this, we present a novel type of processing that is used to detect video features in a space-time continuum. The results of this also demonstrate real-time processing potential and appear promising for motion focused tasks such as robot navigation.",
keywords = "Fast Video Processing, Spiral Coordinate System, Eye Tremor, Edge Detection, Space-time Processing",
author = "John Fegan and SA Coleman and Dermot Kerr and Bryan Scotney",
year = "2017",
month = "6",
day = "30",
language = "English",
booktitle = "Unknown Host Publication",

}

Fegan, J, Coleman, SA, Kerr, D & Scotney, B 2017, Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme. in Unknown Host Publication. Irish Machine Vision and Image Processing, 30/06/17.

Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme. / Fegan, John; Coleman, SA; Kerr, Dermot; Scotney, Bryan.

Unknown Host Publication. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme

AU - Fegan, John

AU - Coleman, SA

AU - Kerr, Dermot

AU - Scotney, Bryan

PY - 2017/6/30

Y1 - 2017/6/30

N2 - In the advent of autonomous machines, the need for real time video processing is becoming an increasingly important issue. Although technological advances have brought us closer to achieving this goal, they are often based on expensive and uniquely designed hardware solutions. It can be argued that as the complexity of image processing increases, it becomes more desirable to focus on portability and cost effective processing strategies. In this paper, we present a biologically inspired processing strategy that can be integrated with common, cost-effective image hardware. The results demonstrate that this approach can achieve a six-fold speedup, against a traditional image processing strategy, without any hardware modifications and a ten-fold speedup on adapted hardware. Alongside this, we present a novel type of processing that is used to detect video features in a space-time continuum. The results of this also demonstrate real-time processing potential and appear promising for motion focused tasks such as robot navigation.

AB - In the advent of autonomous machines, the need for real time video processing is becoming an increasingly important issue. Although technological advances have brought us closer to achieving this goal, they are often based on expensive and uniquely designed hardware solutions. It can be argued that as the complexity of image processing increases, it becomes more desirable to focus on portability and cost effective processing strategies. In this paper, we present a biologically inspired processing strategy that can be integrated with common, cost-effective image hardware. The results demonstrate that this approach can achieve a six-fold speedup, against a traditional image processing strategy, without any hardware modifications and a ten-fold speedup on adapted hardware. Alongside this, we present a novel type of processing that is used to detect video features in a space-time continuum. The results of this also demonstrate real-time processing potential and appear promising for motion focused tasks such as robot navigation.

KW - Fast Video Processing

KW - Spiral Coordinate System

KW - Eye Tremor

KW - Edge Detection

KW - Space-time Processing

M3 - Conference contribution

BT - Unknown Host Publication

ER -