Naslov
Detection and Automatic Identification of Human Walk

Autori
Musić, Josip ; Cecić, Mojmil ; Zanchi, Vlasta

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 3rd IASTED International Conference on Biomedical Engineering / Hamza, M.H. - Anaheim : Calgary : Zurich : ACTA Press, 2005, 641-646

Skup
IASTED International Conference on Biomedical Engineering (3 ; 2005)

Mjesto i datum
Innsbruck, Austrija, 16.02.2005. - 18.02.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Nonparametric modeling; star-skeletonization; automatic identification

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA