Abstract
The embedded automatic face detection system is to locate the face region in the real scene. In order to reach a real-time performance, We adopt a cascaded structure of the convolution neural network model to solve face detection problem. In hardware implementation, the ARM Cortex-A9 processor is used to achieve the algorithm. And the Neon unit in ARM is used to achieve the parallel operation of the basic data of the algorithm, so the detection algorithm is accelerated to achieve the real-time operation of the automatic face detection system.
Original language | English |
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Title of host publication | ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728123455 |
DOIs | |
Publication status | Published - Dec 2019 |
Event | 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019 |
Publication series
Name | ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 |
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Conference
Conference | 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 |
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Country/Territory | China |
City | Chongqing |
Period | 11/12/19 → 13/12/19 |
Keywords
- ARM
- convolution neural network
- face detection
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Li, K., & Chen, H. (2019). Implementation of Automatic Face Detection System Based on ARM. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 9173162 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173162