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 .
|
PDF
Appiah2010SOCCBinaryObjectRecognitionSystemOnFPGAWithBSOM.pdf - Whole Document Download (263Kb) |
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 |
Actions (login required)
![]() |
View Item |
