A spatio-temporal 2D-models framework for human pose recovery in monocular sequences

DOI10.1016/j.patcog.2008.02.012zbMath1154.68498OpenAlexW1972484018MaRDI QIDQ937446

Jesús Martínez-del-Rincón, Grégory Rogez, Carlos Orrite-Uruñuela

Publication date: 15 August 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.02.012

zbMATH Keywords

human motion analysishuman shape modellingpose inference

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Uses Software

• FastICA

Cites Work

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• Human gait recognition by the fusion of motion and static spatio-temporal templates
• Learning mixtures of point distribution models with the EM algorithm.
• A probabilistic exclusion principle for tracking multiple objects
• Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image
• Computer Vision - ECCV 2004

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