Pregled bibliografske jedinice broj: 210504
A Multi-Agent-Based Approach to Face Detection and Localization
A Multi-Agent-Based Approach to Face Detection and Localization // Proceedings of the 27th International Conference on Information Technology Interfaces : ITI 2005 / Lužar-Stiffler, Vesna ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2005. str. 399-404 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 210504 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Multi-Agent-Based Approach to Face Detection and Localization
Autori
Kipčić, Damir ; Ribarić, Slobodan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 27th International Conference on Information Technology Interfaces : ITI 2005
/ Lužar-Stiffler, Vesna ; Hljuz Dobrić, Vesna - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2005, 399-404
Skup
International Conference on Information Technology Interfaces : ITI 2005 (27 ; 2005)
Mjesto i datum
Cavtat, Hrvatska, 20.06.2005. - 23.06.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
multi-agent system; behaviour-based agents; image segmentation; face detection; face localization
Sažetak
This paper presents a multi-agent-based approach to face detection and localization in colour images. In the initial step of the process the autonomous behaviour agents are distributed throughout the image. In subsequent steps the agents detect and mark skin-colour pixels using the HSI model and the innate agent-s behaviour functions, such as diffusion, self-reproduction and dying. During the final step, the results of all the families of agents are combined and the face-like regions are detected. After face-like region localization, the shape information is used to decide if the region really represents a human face. The approach was tested using both the XM2VTS database of frontal face images and images containing people in natural situations.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
0036025
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Slobodan Ribarić
(autor)