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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Objects Detection and Tracking on the Level Crossing
verfasst von : Zdeněk Silar, Martin Dobrovolny
Erschienen in: Computational Collective Intelligence
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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.