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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.)
2003Probabilistic multiple cue intergration for particle filter based trackingShen, C.; Van Den Hengel, A.; Dick, A.; Sun, C.; Talbot, H.; Ourselin, S.; Adriaansen, T.; Australian Pattern Recognition Society. Conference (7th : 2003 : Sydney, N.S.W.)
2009Positive Semidefinite Metric Learning with BoostingShen, C.; Kim, J.; Wang, L.; Van Den Hengel, A.; Annual Conference on Neural Information Processing Systems (23rd : 2009 : Vancouver, Canada)
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)
2005Visual tracking via efficient kernel discriminant subspace learningShen, C.; Van Den Hengel, A.; Brooks, M.; Regazzoni, C.; De Natale, F.; IEEE International Conference on Image Processing (2005 : Genoa, Italy)
2005Augmented particle filtering for efficient visual trackingShen, C.; Brooks, M.; Van Den Hengel, A.; Regazzoni, C.; De Natale, F.; IEEE International Conference on Image Processing (2005 : Genoa, Italy)
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)
2007Fast global kernel density mode seeking: Applications to localization and trackingShen, C.; Brooks, M.; Van Den Hengel, A.

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