Abstract
We present a system for multimodal, semantic analysis of person movements that incorporates data from surveillance cameras, weather sensors, and third-party information providers. The interactive demonstration will show the automated creation of a survey of passenger transfer behavior at a public transport hub. Such information is vital for public transportation planning and the presented approach increases the cost-effectiveness and data accuracy as compared to traditional methods.
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© 2009 Springer-Verlag Berlin Heidelberg
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Halb, W., Neuschmied, H. (2009). Multimodal Semantic Analysis of Public Transport Movements. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_17
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DOI: https://doi.org/10.1007/978-3-642-10543-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10542-5
Online ISBN: 978-3-642-10543-2
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