Abstract
A method for extracting relevant information from image sequence data is presented. The image sequences, being output of video system of the Unmanned Aerial Vehicle, are analysed with use of EM-clustering techniques and Rough Set based methods. The possibilities of construction of an automated system for recognition/identification of cars on the road, on the basis of colour-related data are discussed.
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© 2001 Springer-Verlag Berlin Heidelberg
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Nguyen, H.S., Skowron, A., Szczuka, M.S. (2001). Analysis of Image Sequences for the Unmanned Aerial Vehicle. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_41
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DOI: https://doi.org/10.1007/3-540-45548-5_41
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