Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/5133| Title: | FEATURE BASED OPTICAL FLOW MODEL FOR OBSTACLE DETECTION ON A CAMERA PHONE |
| Authors: | Mohammed, Abdulmalik Danlami Morris, Tim |
| Keywords: | Image Analysis, Optical Flows Vectors, Obstacle Avoidance, Smart phone, Nearest Flow |
| Issue Date: | 3-Nov-2020 |
| Publisher: | 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) |
| 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. |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/5133 |
| Appears in Collections: | Computer Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2_Feature Based Optical Flow Model for Obstacle Detection on a Camera Phone.pdf | 396.18 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.