Using Colour for Robust Tracking and Segmentation
We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.
Unable to display preview. Download preview PDF.
- Y. Raja, S. McKenna, and S. Gong, “Segmentation and tracking using colour mixture models,” in ACCV, Hong Kong, January 1998.Google Scholar
- S. McKenna, S. Gong, and Y. Raja, “Face recognition in dynamic scenes,” in BMVC, 1997.Google Scholar
- M. J. Swain and D. H. Ballard, “Colour indexing,” IJCV, pp. 11–32, 1991.Google Scholar
- S. McKenna, S. Gong, and Y. Raja, “Tracking colour objects using adaptive mixture models,” Image and Vision Computing, 1998, In Press.Google Scholar