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- W1605884429 abstract "Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations this assumption is not valid: the track able shape of an object may change discontinuously, for example if it is the 2D silhouette of a 3D object. In this paper we propose a novel method for modelling temporal shape discontinuities explicitly. Allowable shapes are represented as a union of (learned) bounded regions within a shape space. Discontinuous shape changes are described in terms of transitions between these regions. Transition probabilities are learned from training sequences and stored in a Markov model. In this way we can create 'wormholes' in shape space. Tracking with such models is via an adaptation, of the CONDENSATION algorithm." @default.
- W1605884429 created "2016-06-24" @default.
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- W1605884429 date "2002-11-27" @default.
- W1605884429 modified "2023-09-23" @default.
- W1605884429 title "Wormholes in shape space: tracking through discontinuous changes in shape" @default.
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- W1605884429 doi "https://doi.org/10.1109/iccv.1998.710741" @default.
- W1605884429 hasPublicationYear "2002" @default.
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