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2018 | OriginalPaper | Chapter

FPGA Based Face Detection Using Local Ternary Pattern Under Variant Illumination Condition

Authors : Jin Young Byun, Jae Wook Jeon

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

This paper presents the design and implementation of real-time face detection using Local Ternary Pattern (LTP). First, an input image is transferred by the Camlink interface and the image is then downscaled for face detection. A tree-structured cascade of classifiers is used for face detection. We implemented the proposed hardware architecture on a Xilinx Virtex-7 FPGA and the processing speed was adjusted to the frame rate of the camera. The size of the input images is 640 × 480 (VGA) and a larger size can be used without performance loss.

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Metadata
Title
FPGA Based Face Detection Using Local Ternary Pattern Under Variant Illumination Condition
Authors
Jin Young Byun
Jae Wook Jeon
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_60