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A visual system for invariant recognition in animated image sequences
The problem of invariant recognition in simple animated image sequences is investigated using a biologically inspired model. It integrates a bottom-up attention module, a synchronization-based segmentation mechanism, a normalization network and a recognition module. The results show how the system p...
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Published in: | Neurocomputing (Amsterdam) 2003-06, Vol.52, p.631-636 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The problem of invariant recognition in simple animated image sequences is investigated using a biologically inspired model. It integrates a bottom-up attention module, a synchronization-based segmentation mechanism, a normalization network and a recognition module. The results show how the system provides the following properties: (1) change-based attention in animated sequences, (2) multiple object segmentation, and (3) translation and scale invariant recognition. |
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ISSN: | 0925-2312 1872-8286 |
DOI: | 10.1016/S0925-2312(02)00845-7 |