PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Lattice-based Anomaly Rectification for Sport Video Annotation
Aftab Khan, David Windridge, Teo de Campos, Josef Kittler and William Christmas
In: ICPR 2010, 23-26 August 2010, Istanbul, Turkey.


Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way. This may require continuous adaptive learning to be abandoned and a new learning process initiated in the new domain. A related problem is that of anomaly rectification; the adaptation of the existing learning mechanism to the change of domain. As a concrete instantiation of this notion, the current paper investigates a novel lattice-based HMM induction strategy for arbitrary court-game environments. We test (in real and simulated domains) the ability of the method to adapt to a change of rule structures going from tennis singles to tennis doubles. Our long term aim is to build a generic system for transferring game-rule inferences.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:6969
Deposited By:Teo de Campos
Deposited On:26 June 2010