Product Details
V4: MMR algoritmy adaptované pro Latinsku Ameriku
Created: 2023
English title
V4: MMR algorithms adapted for Latin America
Type
software
License
required - licence fee
Authors
Juhas Miroslav, Ing. (CAMEA)
Honec Peter, Ing., Ph.D. (CAMEA)
Klobušníková Zuzana (CAMEA)
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT)
Šustek Jiří, Ing. (CAMEA)
Ševčík Václav, Ing. (CAMEA)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Nosko Svetozár, Ing. (DCGM FIT BUT)
Honec Peter, Ing., Ph.D. (CAMEA)
Klobušníková Zuzana (CAMEA)
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT)
Šustek Jiří, Ing. (CAMEA)
Ševčík Václav, Ing. (CAMEA)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Nosko Svetozár, Ing. (DCGM FIT BUT)
Keywords
MMR, Model and Make Recognition, Traffic Counter, Convolutional Neural Network, ResNet, High Precision, Brazil, South America
Description
A software module for visual vehicle classification, MMR (Model and Make Recognition), operating with high accuracy based on neural networks (CNNs) and adapted to the appearance of Latin American vehicles thorugh re-training exploiting Latin Americal data set of vehicles. It can be used both as a complement to classification algorithms in WIM systems and as an independent non-intrusive vehicle counter and classifier based on a camera system.
Projects
WIM Latin America (EG20_321/0025242)
Research groups
Computer Graphics Research Group (VZ GRAPH)
Departments