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Patch-based topic model for group detection

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Abstract

Pedestrians in crowd scenes tend to connect with each other and form coherent groups. In order to investigate the collective behaviors in crowds, plenty of studies have been conducted on group detection. However, most of the existing methods are limited to discover the underlying semantic priors of individuals. By segmenting the crowd image into patches, this paper proposes the Patch-based Topic Model (PTM) for group detection. The main contributions of this study are threefold: (1) the crowd dynamics are represented by patchlevel descriptor, which provides a macroscopic-level representation; (2) the semantic topic label of each patch are inferred by integrating the Latent Dirichlet Allocation (LDA) model and the Markov Random Fields (MRF); (3) the optimal group number is determined automatically with an intro-class distance evaluation criterion. Experimental results on real-world crowd videos demonstrate the superior performance of the proposed method over the state-of-the-arts.

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Acknowledgements

This work was supported by National Key Research and Development Program of China (Grant No. 2017YFB1002202), National Natural Science Foundation of China (Grant Nos. 61773316, 61379094), Fundamental Research Funds for the Central Universities (Grant No. 3102017AX010), and Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences.

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Authors and Affiliations

  1. School of Computer Science and Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, 710072, China

    Mulin Chen & Qi Wang

  2. Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, 710072, China

    Qi Wang

  3. Center for Optical Imagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710119, China

    Xuelong Li

Authors
  1. Mulin Chen
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  2. Qi Wang
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  3. Xuelong Li
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Corresponding author

Correspondence to Qi Wang.

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Patch-based Topic Model for Group Detection

Patch-based Topic Model for Group Detection

Patch-based Topic Model for Group Detection

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Chen, M., Wang, Q. & Li, X. Patch-based topic model for group detection. Sci. China Inf. Sci. 60, 113101 (2017). https://doi.org/10.1007/s11432-017-9237-1

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  • DOI: https://doi.org/10.1007/s11432-017-9237-1

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