Title :
Improving face recognition from videos with preprocessed representative faces
Author :
Topkaya, Ibrahim Saygin ; Bayazit, Nilgun Guler
Abstract :
In this work, a face recognition system working on video records is constructed. The aim of this study is to analyze; how -instead of using all video frames and building a complex model-using only a subset of informative frames (named representative frames), automatically selected and preprocessed by a system, affects success rate and processing time.
Keywords :
face recognition; video signal processing; face recognition system; facial features; image processing techniques; preprocessed representative faces; trained classifier; video frames; Buildings; Data mining; Eyes; Face detection; Face recognition; Facial features; Humans; Image processing; Image recognition; Video sequences;
Conference_Titel :
Computer and Information Sciences, 2008. ISCIS '08. 23rd International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2880-9
Electronic_ISBN :
978-1-4244-2881-6
DOI :
10.1109/ISCIS.2008.4717905
