Multi-View Faces Detection Using Viola-Jones Method

Face detection has arrested attention because it has many applications in computer vision. Face detection is widely used in many digital image processing as a basis for recognizing and tracing faces. In this paper, we propose multi-view object detection system to count the number of faces in an imag...

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Vydané v:Journal of physics. Conference series Ročník 1114; číslo 1; s. 12068 - 12075
Hlavní autori: Winarno, Edy, Hadikurniawati, Wiwien, Nirwanto, Ahmad Ainun, Abdullah, Dahlan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.11.2018
Predmet:
Algorithms
Computer vision
Digital imaging
Face recognition
Image processing
Object recognition
ISSN:1742-6588, 1742-6596
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Shrnutí:Face detection has arrested attention because it has many applications in computer vision. Face detection is widely used in many digital image processing as a basis for recognizing and tracing faces. In this paper, we propose multi-view object detection system to count the number of faces in an image. This system uses an AdaBoost algorithm in Viola-Jones method of face detection to built classifiers cascades of faces. The Viola Jones method can reduce face detection errors, the Viola Jones method has several processing steps. It can detect and calculate the number of faces contained in the image. The Viola-Jones method is practically implemented by using Matlab for detecting the human face in images. Testing with the proposed model has been carried out with 40 image data. The test results have shown the level of face detection accuracy of 93.24%
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1114/1/012068