Hybrid architecture for KIMS object recognition in a multicontext scene
Celestine A. Ntuen, Evi H. Park, Jung H. Kim, Shiu M. Cheung · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
In a multicontext scene where several objects may be occluded or scenes may change rapidly, a single paradigm for computer vision may not be sufficient. The demand to adjust and learn new environment is therefore a challenging modeling problem in computer vision research. In response to this challenge we have developed a hybrid architecture which combines classical pattern recognition algorithms with fuzzy knowledge-base and Hopfield Neural Network. We also present elementary results obtained from this effort.