Abstract
A wide variety of assistive tools has failed to address some or all of the challenges faced by people with visual disability. For instance, obstacle avoidance poses a big challenge to visually impaired persons especially during the navigation of unknown places. The high resolution and low cost camera phone provides an alternative to record video and capture high quality images, which simplifies the computation of optical flow vectors for obstacle detection. This study, explore the benefit of camera phone in the capturing and processing of video frame into flow vectors for obstacle detection.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020 |
| Editors | Anis Koubaa, Ahmad Taher Azar, Basit Qureshi |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 32-37 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728174075 |
| DOIs | |
| State | Published - Nov 2020 |
| Externally published | Yes |
Publication series
| Name | Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020 |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Image Analysis
- Nearest Flow
- Obstacle Avoidance
- Optical Flows Vectors
- Smart phone
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Instrumentation
- Computer Networks and Communications
- Artificial Intelligence
- Energy Engineering and Power Technology
- Control and Optimization