Activity-Biometrics: Person Identification from Daily Activities

arXiv:2403.17360v1 Announce Type: new
Abstract: In this work, we study a novel problem which focuses on person identification while performing daily activities. Learning biometric features from RGB videos is challenging due to spatio-temporal complexity and presence of appearance biases such as clothing color and background. We propose ABNet, a novel framework which leverages disentanglement of biometric and non-biometric features to perform effective person identification from daily activities. ABNet relies on a bias-less teacher to learn biometric features from RGB videos …

arxiv biometrics cs.cv daily identification person type