APPIAH, Kofi, HUNTER, Andrew, DICKINSON, Patrick and MENG, Hongying (2012). Implementation and applications of Tri-State self-organizing maps on FPGA. IEEE Transactions on Circuits and Systems for Video Technology, 22 (8), 1150-1160.
Abstract
This paper introduces a tri-state logic self-organizing map (bSOM) designed and implemented on a field programmable gate array (FPGA) chip. The bSOM takes binary inputs and maintains tri-state weights. A novel training rule is presented. The bSOM is well suited to FPGA implementation, trains quicker than the original self-organizing map (SOM), and can be used in clustering and classification problems with binary input data. Two practical applications, character recognition and appearance-based object identification, are used to illustrate the performance of the implementation. The appearance-based object identification forms part of an end-to-end surveillance system implemented wholly on FPGA. In both applications, binary signatures extracted from the objects are processed by the bSOM. The system performance is compared with a traditional SOM with real-valued weights and a strictly binary weighted SOM.
More Information
Metrics
Altmetric Badge
Dimensions Badge
Share
Actions (login required)
![]() |
View Item |