People Identification Based on Soft Biometrics Features Obtained from 2D Poses
Nenhuma Miniatura disponível
Data
2020-01-01
Autores
Tavares, Henrique Leal [UNESP]
Neto, João Baptista Cardia
Papa, João Paulo [UNESP]
Colombo, Danilo
Marana, Aparecido Nilceu [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
An important challenge in the research field of Biometrics is real-time identification, at a distance, in uncontrolled environments, using low-resolution cameras. In such circumstances, soft biometrics can be the only option. In this work, we propose two novel descriptor methods for biometric identification based on ensemble of anthropometric measurements and joints heat-map of the person skeleton, captured from video frames through state-of-the-art 2D poses estimation methods. The proposed methods were assessed on a popular benchmark dataset, CASIA Gait Dataset B, and obtained good results (85% and 89% of rank-1 identification rates, respectively) with PifPaf 2D pose estimation method.
Descrição
Palavras-chave
2D pose estimation, Anthropometric measurements, Biometrics, Joints heat-maps, People identification
Como citar
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12319 LNAI, p. 318-332.