Abstract
A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models.
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© 1997 Springer-Verlag Berlin Heidelberg
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Raja, Y., McKenna, S.J., Gong, S. (1997). Segmentation and tracking using colour mixture models. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_173
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DOI: https://doi.org/10.1007/3-540-63930-6_173
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