Shape Context for soft biometrics in person re-identification and database retrieval

Author:

Nambiar Athira,Bernardino Alexandre,Nascimento Jacinto

Funder

FCT

AHA

European Commission project POETICON++

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. 3D human pose from silhouettes by relevance vector regression;Agarwal,2004

2. People re-identification across multiple non-overlapping cameras system by appearance classification and silhouette part segmentation;Aziz,2011

3. Re-identification with RGB-d sensors;Barbosa,2012

4. Shape matching and object recognition using shape contexts;Belongie;IEEE Trans. Pattern Anal. Mach. Intell.,2002

5. Person re-identification: what features are important?;Chunxiao,2012

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1. Annotated Pedestrians: A Dataset for Soft Biometrics Estimation for Varying Distances;IEEE Journal of Selected Topics in Signal Processing;2023-05

2. A Survey on Soft Biometric Techniques;Lecture Notes in Electrical Engineering;2022

3. Soft biometrics: a survey;Multimedia Tools and Applications;2021-03-02

4. Gait-based Person Re-identification;ACM Computing Surveys;2020-03-31

5. Modeling Trajectories for 3D Motion Analysis;Communications in Computer and Information Science;2020

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