Modeling and recognizing human trajectories with beta process hidden Markov models

DOI10.1016/J.PATCOG.2015.02.028zbMath1394.68402OpenAlexW2019754976MaRDI QIDQ1669586

Shiliang Sun, Jing Zhao, Qing-Bin Gao

Publication date: 3 September 2018

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.02.028

zbMATH Keywords

hidden Markov modelMarkov chain Monte Carlobeta processhuman activity recognitiontrajectory classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Machine vision and scene understanding (68T45)

Uses Software

• PRMLT

Cites Work

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• A sticky HDP-HMM with application to speaker diarization
• Hierarchical Dirichlet Processes
• Hierarchical Conditional Random Fields for GPS-Based Activity Recognition
• Trajectory Classification Using Switched Dynamical Hidden Markov Models

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