Binary object recognition system on FPGA with bSOM

Appiah, Kofi and Hunter, Andrew and Dickinson, Patrick and Meng, Hongying (2010) Binary object recognition system on FPGA with bSOM. In: The 23nd IEEE International SOC Conference, September 27 - 29, 2010 , Las Vegas, Nevada .

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Abstract

Tri-state Self Organizing Map (bSOM), which takes binary inputs and maintains tri-state weights, has been used for classification rather than clustering in this paper. The major contribution here is the demonstration of the potential use of the modified bSOM in security surveillance, as a recognition system on FPGA.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Tri-state Self Organizing Map (bSOM), which takes binary inputs and maintains tri-state weights, has been used for classification rather than clustering in this paper. The major contribution here is the demonstration of the potential use of the modified bSOM in security surveillance, as a recognition system on FPGA.
Keywords: FPGA, SoC, bSOM, Binary Patterns
Subjects: G Mathematical and Computer Sciences > G411 Computer Architectures
G Mathematical and Computer Sciences > G700 Artificial Intelligence
Divisions: College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User: Kofi Appiah
Date Deposited: 07 Jul 2010 13:46
Last Modified: 13 Mar 2013 08:41
URI: http://eprints.lincoln.ac.uk/id/eprint/2799

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