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

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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.

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Makkar, S., & Sharma, L. (2019). A Face Detection Using Support Vector Machine: Challenging Issues, Recent Trend, Solutions and Proposed Framework. In Communications in Computer and Information Science (Vol. 1046, pp. 3–12). Springer Verlag. https://doi.org/10.1007/978-981-13-9942-8_1

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