In this paper we present a novel scheme for modelling and tracking complex real life objects. The scheme uses multiple models based on a variation of the Point Distribution Model known as the Vector Distribution Model. Inter and intra-class variation is separated using a variation on Linear Discriminant Analysis known as 'Delta Analysis'. The tracking scheme is stochastic and is based on modelling model characteristics by a set of discrete probability distributions, which are updated in an iterative manner. Initialisation is performed using low level processing and a predictor is used to initialise characteristic probabilities on subsequent frames. This scheme has been applied to the task of tracking livestock in a realistic farmyard situation.
|Number of pages||7|
|Journal||IEE Colloquium (Digest)|
|Publication status||Published - 10 May 1999|