Pregled bibliografske jedinice broj: 1170861
Face Detection in Images Using an FPGA
Face Detection in Images Using an FPGA // 2021 Zooming Innovation in Consumer Technologies Conference (ZINC) / Bjelica, Milan (ur.).
Novi Sad: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 96-101 doi:10.1109/ZINC52049.2021.9499301 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1170861 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Face Detection in Images Using an FPGA
Autori
Živković, Marko ; Herceg, Marijan ; Pjevalica, Nebojša ; Subotić, Miloš
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 Zooming Innovation in Consumer Technologies Conference (ZINC)
/ Bjelica, Milan - Novi Sad : Institute of Electrical and Electronics Engineers (IEEE), 2021, 96-101
ISBN
978-1-6654-0417-4
Skup
Zooming Innovation in Consumer Technologies Conference (ZINC 2021)
Mjesto i datum
Novi Sad, Srbija, 26.05.2021. - 27.05.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
face detection ; FPGA ; VHDL ; Viola-Jones ; ZYNQ
Sažetak
Algorithms for face detection in an image find their usage in a wide range of industrial applications. In this paper, a popular Viola-Jones algorithm for face detection is described using Very High Speed Integrated Circuit Hardware Description Language (VHDL). The proposed digital design is synthesized and implemented in ZYBO ZYNQ 7010 System on Chip (SoC) FPGA. The proposed design can process different image resolutions with minimal changes in the design. The evaluation of the proposed solution confirms the correctness of the implementation and possibility to use the proposed design in many applications requiring cost-efficient and real-time face detection.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Marijan Herceg
(autor)