Implementation of Face Detection System Based on ZYNQ FPGA

DOI

10.2991/mcei-16.2016.277How to use a DOI?

Keywords

Face detection; Zynq; Adaboost; SoC

Abstract

Adaboost algorithm based on Haar-like feature and integral image is made up of cascaded classifier, and the computation is very large. This paper uses the hardware and software co-design for implementing the face detection system on Zynq-7000.And realizes the functions of video acquisition, processing, real-time detection and display, and designs the hardware acceleration module of the integral image. At the same time, it improves the detection speed of the system by using dual-core operation, and the detection speed of the system is obviously improved compared with the pure software solution. This design is verified on ZedBoard. It can work with high resolution stream for real-time face detection.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Feng
AU  - Busheng Zheng
AU  - Hao Xiao
PY  - 2016/12
DA  - 2016/12
TI  - Implementation of Face Detection System Based on ZYNQ FPGA
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1362
EP  - 1367
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.277
DO  - 10.2991/mcei-16.2016.277
ID  - Feng2016/12
ER  -