Naslov
Identification of Human Motion by Nonparametric Background Modeling and Star-skeletonization

Autori
Musić, Josip ; Zanchi, Vlasta

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

Izvornik
Proceedings of the Workshop on Signals and Systems in Human Motion / Begušić, Dinko ; Dujmić, Hrvoje ; Zanchi, Vlasta - Split : Faculty of Electrical Eng, Mech.Eng and Naval Arch.-Split, 2004, 18-22

ISBN
953-6114-72-0

Skup
Workshop on Signals and Systems in Human Motion

Mjesto i datum
Venecija, Italija; Dubrovnik, Hrvatska; Split, Hrvatska, 10.10.2004. - 13.10.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
background substraction; nonparametric modeling; human motion identification; skeletonization

Sažetak
Using video in machine understanding has recently become a significant research topic. One of the most explored areas is activity understanding from video sequences. The automatic detection and identification in video has many useful applications like biometrics, pedestrian safety, robot-human interaction, etc. There are several commercially available programs for human motion detection and analysis like [1] and Pfinder[2]. Some of this programs use stereo imagery, which is not always available, and also cardboard human models, which has many drawbacks.Used algorithm eliminates some of these drawbacks.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA