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Tytuł artykułu

Face based identification of people from a video stream

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an analysis of the problem of people identification based on the images of their faces received from a video stream. Considering a single scene image, the task of the identification consists of detection of faces and then the process of recognition follows. In a real-life face recognition system we have a sequence of consecutive images where the number of faces, their localizations, their sizes and orientations are unknown. Considering a video stream all those parameters listed above change with time but not significantly from frame to frame. By tracking a face in a sequence and aggregating individual results of face recognition, a much stable and reliable final recognition result may be obtained. Based on the analysis of the problem the algorithm for people identification from a video stream is developed.
Rocznik
Strony
99--110
Opis fizyczny
Bibliogr.14 poz., rys.
Twórcy
autor
  • Technical University of Szczecin, Faculty of Computer Science and Information Technology, ul. Żołnierska 49, 71-210 Szczecin, Poland
  • Technical University of Szczecin, Faculty of Computer Science and Information Technology, ul. Żołnierska 49, 71-210 Szczecin, Poland
Bibliografia
  • [1] Kukharev G., Kuzminski A., Techniki biometryczne, Cz. 1. Metody rozpoznawania twarzy, Pracownia Poligraficzna WIPS, Szczecin 2003.
  • [2] Kukharev G., Nowosielski A., Visitor Identification - Elaborating Real Time Face Recognition System, Short Communication Papers Proceedings of WSCG 2004, Plzen, 2-6 February 2004, 157-164.
  • [3] Sim T., Sukthankar R., Mullin M., Baluja S., High-Performance Memory-based Face Recognition for Visitor Identification, Proc. 4th International Conference on Face and Gesture Recognition, Grenoble, March 2000.
  • [4] Sukthankar R., Stockton R., ARGUS: An Automated Multi-Agent Visitor Identification System, Proc. AAAI 1999, July 1999.
  • [5] Kukharev G., Metody rozwiązywania i realizacji zadań klasy ”Name-it” , Problemy Informatyki Stosowanej, Rocznik Wydziału Informatyki Politechniki Szczecińskiej, Szczecin 2002, 99-114.
  • [6] Hjelmas E., Face Detection: A Survey, Computer Vision and Image Understanding 2001, 83, 236-274.
  • [7] Yang M., Kriegman D., Ahuja N., Detecting Faces in Images: A Survey, IEEE Transactions on pattern analysis and machine intelligence 2002, January, 24, 1, 34-58.
  • [8] Kompanets L., Valchuk T. et al., Biometryczna metoda identyfikacji użytkownika oparta na informacjach o asymetrii twarzy i mimice, Proc. 6-th Intern. Conference IT.FORUM SECURE 2002, Warszawa, NASK and MULTICOPY Press, 6-7 November 2002, 2, 31-40.
  • [9] Lanitis A., Taylor Ch.J., Cootes T.F., Automatic Interpretation and Coding of Face Images Using Flexible Models, IEEE Trans. PAMI 1997, July, 17, 7, 743-755.
  • [10] Pentland A., Choudbury T., Face Recognition for Smart Environments, IEEE Computer 2000, February, 50-55.
  • [11] Tistarelli M., Grosso E., Active Face Recognition with a Hybrid Approach, Pattern Recognition Letters 1997, 18, 933-946.
  • [12] Hafed Z.M., Lewine M.D., Face Recognition Using the Discrete Cosine Transform, Inter. Journal of Computer Vision 2001, 43, 3, 167-188.
  • [13] Nowosielski A., Three Stage Face Recognition Algorithm for Visitor Identification System, Proc. 10th Intrnational Conference: Advanced Computer Systems ACS 2003, Miedzyzdroje, 22-24 October 2003.
  • [14] The ORL Database of Faces, www.uk.research.att.com/pub/data/att_faces.zip
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPC1-0001-0060
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