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Learning spatio-temporal patterns for predicting object behaviour

delete2000-06-01
delete72
PRE
AI
N
Neil Sumpter
A
Andrew J. Bulpitt
DOI：10.1016/S0262-8856(99)00073-6delete
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Abstract

Abstract

En 中文
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specific environment, a better model may be learnt from observation. This paper presents a novel approach to learning long-term spatio-temporal patterns of objects in image sequences, using a neural network paradigm to predict future behaviour. The results demonstrate the application of our approach to the problem of predicting animal behaviour in response to a predator. (C) 2000 Elsevier Science B.V. All rights reserved.
Keywords:
flock behaviour
neural networks
temporal path prediction
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Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

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