Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Xiaogang WangW Eric L Grimson

Abstract

We propose a novel unsupervised learning framework to model activities and interactions in crowded and complicated scenes. Hierarchical Bayesian models are used to connect three elements in visual surveillance: low-level visual features, simple "atomic" activities, and interactions. Atomic activities are modeled as distributions over low-level visual features, and multi-agent interactions are modeled as distributions over atomic activities. These models are learnt in an unsupervised way. Given a long video sequence, moving pixels are clustered into different atomic activities and short video clips are clustered into different interactions. In this paper, we propose three hierarchical Bayesian models, Latent Dirichlet Allocation (LDA) mixture model, Hierarchical Dirichlet Process (HDP) mixture model, and Dual Hierarchical Dirichlet Processes (Dual-HDP) model. They advance existing language models, such as LDA [1] and HDP [2]. Our data sets are challenging video sequences from crowded traffic scenes and train station scenes with many kinds of activities co-occurring. Without tracking and human labeling effort, our framework completes many challenging visual surveillance tasks of board interest such as: (1) discovering typical ato...Continue Reading

References

Feb 12, 2004·Proceedings of the National Academy of Sciences of the United States of America·Thomas L Griffiths, Mark Steyvers
Jan 22, 2005·Risk Analysis : an Official Publication of the Society for Risk Analysis·Andrew GelmanAlexander van Geen

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Citations

Nov 1, 2012·Sensors·Lorena CalaviaAntonio Sánchez-Esguevillas
Jul 12, 2014·TheScientificWorldJournal·Yu Li-pingAn Zhi-yong
Dec 8, 2010·Informatics for Health & Social Care·Andreas HeinPetra Okken
Jul 8, 2015·Sensors·Thien Huynh-TheSungyoung Lee
Mar 31, 2015·Human Movement Science·Raúl MontoliuAdolfo Martínez-Usó
Aug 12, 2016·SpringerPlus·Hamidreza RabieeHossein Mousavi
Jan 1, 2017·International Journal of Computer Vision·Luca Del PeroVittorio Ferrari
Dec 1, 2020·Neural Computation·Dequan JinPenghe Chen
May 28, 2019·Neural Networks : the Official Journal of the International Neural Network Society·Thierry BouwmansSoon Ki Jung

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