Towards a self-sufficient face verification system
作者：
Highlights：
• Self-updating approach for video-to-video face verification tasks.
• Proposal of Dynamic ensemble of SVMs as an adaptive biometric system.
• Ensembles self-update to target appearance changes due to time or ambient factors.
• Incremental learning takes place online when new positive samples emerge.
• Results show the viability of the proposal against other analogous approaches.
摘要
•Self-updating approach for video-to-video face verification tasks.•Proposal of Dynamic ensemble of SVMs as an adaptive biometric system.•Ensembles self-update to target appearance changes due to time or ambient factors.•Incremental learning takes place online when new positive samples emerge.•Results show the viability of the proposal against other analogous approaches.
论文关键词：Adaptive biometrics,Video surveillance,Video-to-video face verification,Unsupervised learning,Incremental learning
论文评审过程：Received 21 January 2020, Revised 12 January 2021, Accepted 12 February 2021, Available online 23 February 2021, Version of Record 19 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114734
