Research Article
Multi-face Synchronous Recognition Method for Civil Aviation Security Inspection Based on Deep Migration Learning
@INPROCEEDINGS{10.1007/978-3-031-18123-8_34, author={Ning Zhang and Youcheng Liang and Tianyou Wu and Jiangang Yin}, title={Multi-face Synchronous Recognition Method for Civil Aviation Security Inspection Based on Deep Migration Learning}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Deep migration learning Civil aviation security check Multiple faces Synchronous recognition method}, doi={10.1007/978-3-031-18123-8_34} }- Ning Zhang
Youcheng Liang
Tianyou Wu
Jiangang Yin
Year: 2022
Multi-face Synchronous Recognition Method for Civil Aviation Security Inspection Based on Deep Migration Learning
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_34
Abstract
There is a large flow of people in the civil aviation security inspection process, and the traditional face recognition method is inefficient in synchronously recognizing multiple faces. To this end, a synchronous recognition method of multiple faces in civil aviation security check based on deep transfer learning is designed. Collect multiple face image data, and perform face image feature processing. Using deep transfer learning to build a multi-face synchronous recognition model for civil aviation security inspection, and then realize the multi-face synchronous recognition of civil aviation security inspection. The comparison experiment is used to verify that the face synchronization recognition effect of the new method is better, which is of great promotion value.
