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Results 1-10 of 13 (Search time: 0.001 seconds).
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PreviewIssue DateTitleAuthor(s)
2004Enhanced importance sampling: Unscented auxiliary particle filtering for visual trackingShen, C.; Van Den Hengel, A.; Dick, A.; Brooks, M.; Webb, G.; Yu, X.; Australian Joint Conference on Artificial Intelligence (17th : 2004 : Cairns, Qld.)
20042D articulated tracking with dynamic Bayesian networksShen, C.; Van Den Hengel, A.; Dick, A.; Brooks, M.; Wei, D.; Wang, H.; Peng, Z.; Kara, A.; He, Y.; International Conference on Computer and Information Technology (4th : 2004 : Wuhan, China)
2007A convex programming approach to the trace quotient problemShen, C.; Li, H.; Brooks, M.; Yasushi Yagi,; Asian Conference on Computer Vision (8th : 2007 : Tokyo, Japan)
2007Fast global kernel density mode seeking: Applications to localization and trackingShen, C.; Brooks, M.; Van Den Hengel, A.
2008Supervised dimensionality reduction via sequential semidefinite programmingShen, C.; Li, H.; Brooks, M.
2008Self-calibrating cameras using semidefinite programmingShen, C.; Li, H.; Brooks, M.; Digital Image Computing: Techniques and Applications (2008 : Canberra, Australia)
2010Multiple homography estimation with full consistency constraintsChojnacki, W.; Szpak, Z.; Brooks, M.; Van Den Hengel, A.; Zhang, J.; Shen, C.; Geers, G.; Digital Image Computing: Techniques and Applications (2010 : Sydney, Australia)
2006Classification-based likelihood functions for Bayesian trackingShen, C.; Li, H.; Brooks, M.; Piccardi, M.; Hintz, T.; IEEE Conference on Video and Signal Based Surveillance (2006 : Sydney, Australia)
2005Fast global kernel density mode seeking with application to localisation and trackingShen, C.; Brooks, M.; Van Den Hengel, A.; Ma, S.; Shum, H.; IEEE International Conference on Computer Vision (10th : 2005 : Beijing, China)
2005Adaptive over-relaxed mean shiftShen, C.; Brooks, M.; Bouzerdoum, A.; Beghdadi, A.; International Symposium on Signal Processing and Its Applications (8th : 2005 : Sydney, N.S.W.)