New Ground Plane Segmentation Method for Electronic Cane
| Autor: | Dorra Sellami Masmoudi, Jihen Elleuch, Imen Kallel |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Simple computation
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Graphics and Computer-Aided Design Computer Science Applications Image (mathematics) Set (abstract data type) Obstacle Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Ground plane Real time navigation Monocular camera |
| Zdroj: | Journal of Image and Graphics. 1:72-75 |
| ISSN: | 2301-3699 |
| Popis: | In this paper, a new ground plane segmentation method is proposed for obstacle detection to improve the mobility of the visually impaired people by means of a novel electronic cane "Smartcane". Monocular camera was used which has the merits to get simple computation and cheap hardware and it's promising to realize real time navigation. The proposed method is based on an appearance-based approach by combining both color and texture information extracted from monocular image. The algorithm is tested with a challenging indoor image set. It gives better obstacle detection than available color based obstacle detection approaches. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|