Name
Title | ||
|---|---|---|
Visual Recognition of Types of Structural Corridor Landmarks Using Vanishing Points Detection and Hidden Markov Models |
Abstract | ||
|---|---|---|
In this paper, to provide a robot with information relative to structure of its environment, we propose a method to recognize types of structural corridor landmarks such as T-junction, L-junction, end of the corridor, using vanishing points-based visual image features and hidden Markov models. Several experimental results are illustrated to emonstrate the validity of the proposed approach in a real environment. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICPR.2010.805 | ICPR |
Keywords | Field | DocType |
hidden markov models,image features,edge detection,pixel,hidden markov model,robot,vanishing point,feature extraction,integrated circuits,mobile robots,hmm,robots,cartography | Computer vision,Pattern recognition,Feature (computer vision),Edge detection,Computer science,Feature extraction,Artificial intelligence,Pixel,Robot,Hidden Markov model,Mobile robot,Vanishing point | Conference |
Citations | PageRank | References |
1 | 0.37 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngbin Park | 1 | 4 | 5.85 |
| Sung Su Kim | 2 | 127 | 8.62 |
| Il Hong Suh | 3 | 780 | 110.60 |