INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Object detection and tracking are important in many computer vision applications, including activity recognition, automotive safety and surveillance. Presented here is an face detection using MATLAB system that can detect not only a human face but also eyes and upper body. Face detection is an easy and simple task for humans, but not so for computers. It has been regarded as the most complex and challenging problem in the field of computer vision due to large intra-class variations caused by the changes in facial appearance, lighting and expression. Such variations result in the face distribution to be highly nonlinear and complex in any space that is linear to the original image space. Face detection is the process of identifying one or more human faces in images or videos. It plays an important part in many biometric, security and surveillance systems, as well as image and video indexing systems.
Keywords:
Intra-class variations, Object detection, activity recognition, video Indexing systems, Face detection
Cite Article:
"Face Detection using matlab", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 1, page no.160 - 166, January-2020, Available :http://www.ijsdr.org/papers/IJSDR2001028.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR2001028
Registration ID:191231
Published In: Volume 5 Issue 1, January-2020
DOI (Digital Object Identifier):
Page No: 160 - 166
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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