Conference paper
Moving object classification in a domestic environment using quadratic neural networks
Proceedings of IEEE Workshop on Neural Networks for Signal Processing, pp.375-383
IEEE
Proceedings of the 1994 IEEE Workshop Neural Networks for Signal Processing [1994] IV (Ermioni, Greece, 06/09/1994–08/09/1994)
1994
Abstract
We present a moving object recognition system. A description is given of the whole system from the image acquisition through the preprocessing and feature extraction stages to the classification of objects. We use quadratic neural networks (QNN) to model the input data and then extract features from the model which are translation and rotation invariant. We have applied the idea to a practical problem of classifying moving objects in a domestic environment such as moving heads, curtains blown by the wind and external events such as moving tree branches. Reasonable results are obtained using only the spatial information.
Details
- Title
- Moving object classification in a domestic environment using quadratic neural networks
- Authors/Creators
- G. Lim (Author/Creator) - The University of Western AustraliaM. Alder (Author/Creator) - The University of Western AustraliaC.J.S. deSilva (Author/Creator) - The University of Western AustraliaY. Attikiouzel (Author/Creator) - The University of Western Australia
- Publication Details
- Proceedings of IEEE Workshop on Neural Networks for Signal Processing, pp.375-383
- Conference
- Proceedings of the 1994 IEEE Workshop Neural Networks for Signal Processing [1994] IV (Ermioni, Greece, 06/09/1994–08/09/1994)
- Publisher
- IEEE
- Identifiers
- 991005542166707891
- Copyright
- © 1994 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
Metrics
212 File views/ downloads
98 Record Views