Detection and Automatic Identification of Human Walk (CROSBI ID 505832)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Musić, Josip ; Cecić, Mojmil ; Zanchi, Vlasta
engleski
Detection and Automatic Identification of Human Walk
Use of video in robot vision and machine understanding is fundamental for number of high-level applications. These include identification of humans by "the way they walk" (biometrics), human-robot interaction, pedestrian safety, automated video surveillance etc. For high-level procedures to be performed, low-level operations have to be executed. These include target detection, tracking and labeling as well as understanding of target interaction. There are several commerciallyavailable programs for detection and analysis of human walk like W4, Pfinder and Spfinder. Some of these programs use stereo imagery, which is not always suitable. Algorithm introduced in this paper dosen't require stereo imagery. It uses nonparametric background modeling for target extraction and star-skeletonization for identification of target class. Obtained results are promising and can be used in further development.
Nonparametric modeling; star-skeletonization; automatic identification
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Podaci o prilogu
641-646.
2005.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 3rd IASTED International Conference on Biomedical Engineering
Hamza, M.H.
Anaheim : Calgary : Zurich: ACTA Press
Podaci o skupu
IASTED International Conference on Biomedical Engineering (3 ; 2005)
predavanje
16.02.2005-18.02.2005
Innsbruck, Austrija