Title :
Partitioned mixture distributions: the dynamical case
Author_Institution :
Defence Res. Agency, Malvern
Abstract :
The theory of static partitioned mixture distribution networks is generalised to the dynamical case. A simulation is presented to demonstrate how this type of network may be used to track moving objects in a cluttered background
Keywords :
object recognition; cluttered background; generalised; partitioned mixture distribution; track moving objects;
Conference_Titel :
Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)
Conference_Location :
Cambridge
Print_ISBN :
0-85296-690-3
DOI :
10.1049/cp:19970702