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Cascade Error-Correction Mechanism for Human Pose Estimation in Videos

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Intelligence Science and Big Data Engineering (IScIDE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10559))

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Abstract

This paper aims to estimate constantly changing human poses in videos. Traditional methods fail to locate wrists accurately, which is a tremendously challenging task. We propose a three-stage framework for human pose estimation, emphasizing on the improvement of wrist location accuracy. The first stage applies the pictorial structure model to localize the positions of all joints in each frame and calculate the posterior edge distribution probability of wrists. In the second stage, a visual tracking based method is fused into the posterior edge distribution probability of wrists to obtain the wrist location. Instead of directly predicting the wrist location, the third stage designs a novel cascade error-correction mechanism (CECM) to correct the predicted results. In addition, a skin-based proposal and multifarious reinitializing modes are also involved in CECM. Experiments are conducted on the two public datasets, and results demonstrate the superiority of the proposed algorithm compared to state-of-the-art methods.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 61432014, 61501349 and U1605252, in part by the National Key Research and Development Program of China under Grant 2016QY01W0204, in part by Key Industrial Innovation Chain in Industrial Domain under Grant 2016KTZDGY-02, in part by the Fundamental Research Funds for the Central Universities under Grant XJS17074 and JBX170218, in part by National High-Level Talents Special Support Program of China under Grant CS31117200001, in part by the Natural Science Basic Research Plan in Shaanxi Province of China under Grant 2017JM6050.

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Authors and Affiliations

  1. School of Electronic Engineering, Xidian University, Xi’an, 710071, China

    Huibing Dai, Lihuo He, Xinbo Gao, Zhaoqi Guo & Wen Lu

Authors
  1. Huibing Dai
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  2. Lihuo He
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  3. Xinbo Gao
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  4. Zhaoqi Guo
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  5. Wen Lu
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Corresponding author

Correspondence to Lihuo He .

Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Yi Sun

  2. Dalian University of Technology, Dalian, China

    Huchuan Lu

  3. Dalian University of Technology, Dalian, China

    Lihe Zhang

  4. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  5. Beijing Institute of Technology, Beijing, China

    Hua Huang

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Dai, H., He, L., Gao, X., Guo, Z., Lu, W. (2017). Cascade Error-Correction Mechanism for Human Pose Estimation in Videos. In: Sun, Y., Lu, H., Zhang, L., Yang, J., Huang, H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science(), vol 10559. Springer, Cham. https://doi.org/10.1007/978-3-319-67777-4_25

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  • DOI: https://doi.org/10.1007/978-3-319-67777-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67776-7

  • Online ISBN: 978-3-319-67777-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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