Local descriptors based face recognition engine for video surveillance systems
Jiří Přinosil · 2013
The paper deals with the local descriptors based face recognition engine for video surveillance systems, where LBP and POEM face descriptors are involved. The FERET database is used for optimal parameters setting with regard to ratio of recognition rate and computational time. The multiple-local-thresholds mechanism is proposed for face template generation and classification task. The engine is verified by using the PubFig database and own database of images from a real surveillance system. The achieved results are suitable to be used in a video surveillance system operating in real-time.