The Realization of Face Detection and Fullness Detection in Medium by Using Haar Cascade Classifiers

Savas B., İlkin S., Becerikli Y.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.2217-2220 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2016.7496215
  • Basıldığı Şehir: Zonguldak
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2217-2220
  • Anahtar Kelimeler: Apache Cordova (PhoneGap), Haar Cascade Classifiers, Face Detection
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Today, Human face detection algorithms, digital video processing, video detection, computer vision etc. are used in many applications. There are different applications for face detection and many methods in studies. It has gained importance to know which face detection method will be used. This study aims to detect the number of the faces in an image and to figure the status of fullness of the medium by using a mobile device. Haar Cascade Classifiers are used to take instant images by the mobile device. The medium of the image are analyzed and faces of the people's are detected. Study shows that the system works successfully.