Autor: |
Silar, Zdenek, Dobrovolny, Martin |
Zdroj: |
2013 36th International Conference on Telecommunications & Signal Processing (TSP); 2013, p755-759, 5p |
Abstrakt: |
This article deals with the obstacle detection on a railway crossing (clearance detection). The presented detection is based on the optical flow estimation and classification of the flow vectors by K-means clustering algorithm. The optical flow is based on a modified Lucas-Kanade method. For testing of the developed methods a model was created and the results were verified on a real data. [ABSTRACT FROM PUBLISHER] |
Databáze: |
Complementary Index |
Externí odkaz: |
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