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A Face Detection Using Support Vector Machine: Challenging Issues, Recent Trend, Solutions and Proposed Framework

  • Suraj Makkar
  • Lavanya SharmaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1046)

Abstract

Face detection comes under the domain of object detection and tracking. Face detection is an integral part of the motion based object detection which combines digital image processing and computer vision for the detection of instances and faces as well. This paper provides a brief overview of the recent trends; current open challenging issues and their solutions available for efficient detection of faces form video stream or still images. This paper also discusses various approaches which are widely used to detect the faces in the dynamic background, illumination and other current challenges. In the last section, a framework for face detection is also proposed using SVM classifier.

Keywords

Deep Convolution Neural Networks RBF PCA FLD SVM MEDA Object detection and tracking Morphological operators 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceManav Rachna UniversityFaridabadIndia
  2. 2.Amity Institute of Information TechnologyAmity UniversityNoidaIndia

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