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A Biologically-Inspired Model for Recognition of Overlapped Patterns
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
2011 (English)In: Proceedings International ICST Conference on Bio-Inspired Models of Network, Information and Computing Systems, 2011Conference paper (Refereed)
Abstract [en]

In this paper a biologically-inspired model for recognition of overlapped patterns is proposed. Information processing in the two visual information processing pathways, i.e., the dorsal and the ventral pathway, is modeled as a solution to the problem. We hypothesize that dorsal pathway, in addition to encoding the spatial information, learns the shape representation of the patterns and, later uses this knowledge as a top-down guidance signal to segment the bottom-up, image-based saliency map. This process of segmentation in the dorsal pathway is implemented as an interactive process, where interaction between bottom-up image information and top-down shape cues lead to incremental development of a segmented saliency map for one of the overlapped object at a time. This segmented map encodes spatial as well as shape information of the respective pattern in the input. The interaction of the dorsal channel with the ventral channel leads to modulation and selective processing of the respective pattern in the ventral pathway for final recognition. Simulation results support the presented hypothesis as well as effectiveness of the model in providing a solution to the recognition of overlapped patterns. The behavior of the model is in accordance to the known human behavior on the occluded patterns.

Place, publisher, year, edition, pages
Keyword [en]
Vision, Attention, Neural network model, Overlapped patterns, Biologically-inspired, Saliency map, Interactive process.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-77028OAI: diva2:524484
International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems
Available from: 2012-06-13 Created: 2012-05-02 Last updated: 2012-06-13Bibliographically approved

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Saifullah, Mohammad
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Department of Computer and Information ScienceThe Institute of Technology
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ReferencesLink to record
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