Abstract
Detecting and tracking moving objects in the visual field is a task which has interested the computer vision discipline for some years [4, 7, 12, 13, 14]. A hybrid technique is described in this chapter for detecting and tracking moving objects in a sequence of images, and for identifying them as ‘human’ or ‘non-human’.
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Tabb, K., Davey, N., Adams, R., George, S. (2004). Detecting, Tracking, and Classifying Human Movement Using Active Contour Models and Neural Networks. In: Abraham, A., Jain, L., van der Zwaag, B.J. (eds) Innovations in Intelligent Systems. Studies in Fuzziness and Soft Computing, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39615-4_14
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DOI: https://doi.org/10.1007/978-3-540-39615-4_14
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