Naslov
Face and Nose Detection in Digital Images using Local Binary Patterns

Autori
Kružić, Stanko ; Papić, Vladan

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

Izvornik
2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2016) / - Split : Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2016

ISBN
978-953-290-060-6

Skup
International Multidisciplinary Conference on Computer and Energy Science Splitech 2016

Mjesto i datum
Split, Hrvatska, 13.07.2016. - 15.07.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
AdaBoost ; cascade of classifiers ; classifier ; detector ; face detection ; object detection

Sažetak
This paper describes an approach to object detection based on Viola-Jones algorithm and LBP histogram. LBP is used on sub-windows of the input image to obtain LBP feature histogram, from which small number of key visual features is extracted using machine learning algorithm based on AdaBoost. The final decision if image contains the object is training cascade of classifiers which rejects the negative sub-windows quickly and use processor time for those sub-windows which are have higher probability for containing the object in question.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA