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.
|Title of host publication||Unknown Host Publication|
|Publisher||National University of Ireland|
|Number of pages||8|
|Publication status||Accepted/In press - 30 Jun 2017|
|Event||Irish Machine Vision and Image Processing - |
Duration: 30 Jun 2017 → …
|Conference||Irish Machine Vision and Image Processing|
|Period||30/06/17 → …|
- Fast Video Processing
- Spiral Coordinate System
- Eye Tremor
- Edge Detection
- Space-time Processing
Fegan, J., Coleman, SA., Kerr, D., & Scotney, B. (Accepted/In press). Fast Video Processing Using a Spiral Coordinate System and an Eye Tremor Sampling Scheme. In Unknown Host Publication National University of Ireland.