Abstract
In this article is presented algorithm for obstacle detection and objects tracking in a railway crossing area. The object tracking is based on template matching and sum of absolute differences. The object tracking was implemented for better reliability of presented system. For optical flow estimation is used a modified Lucas-Kanade method. The results of proposed algorithm were verified in a real traffic scenarios consisted of two railway crossings in Czech Republic during 2013-14 under different environmental conditions.
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CITATION STYLE
Silar, Z., & Dobrovolny, M. (2015). Objects detection and tracking on the level crossing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9329, pp. 245–255). Springer Verlag. https://doi.org/10.1007/978-3-319-24069-5_23
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