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International Conference on Cognitive Systems and Signal Processing

ICCSIP 2018: Cognitive Systems and Signal Processing pp 87–98Cite as

Dynamic Detection and Tracking Based on Human Body Component Modeling

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1005))

Abstract

Focus on the problem of dynamic human detection and tracking in complex scenes, a physical structure based Convolutional Nerual Network is proposed. Firstly, aiming at the modeling and analysis of the human body and its components, the human body detection algorithm adapted to complex scenes is proposed, and the convolutional neural network is designed to realize the model. Secondly, the human body tracking model based on convolutional neural network and off-line training is designed, and the human body tracking algorithm is optimized to realize fast and accurate tracking of human body. Using IOU, Euclidean distance and other algorithms, the relationship between the targets detected by the detection algorithms in two adjacent frames is established. Multi-modal fusion of multiple models using a state machine or the like, so that multiple models can work effectively at the same time. This experiment carried out simulation experiments on the bus video dataset. The experimental results show that the algorithm can effectively track the passengers who are obscured by each other on the bus, and the accuracy exceeds the current best algorithms, which proves the effectiveness of the algorithm.

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Author information

Authors and Affiliations

  1. Faculty of Information, Beijing University of Technology, Beijing, 100124, China

    Jian He & Zihao Wang

Authors
  1. Jian He
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  2. Zihao Wang
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Corresponding author

Correspondence to Jian He .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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He, J., Wang, Z. (2019). Dynamic Detection and Tracking Based on Human Body Component Modeling. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_8

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  • DOI: https://doi.org/10.1007/978-981-13-7983-3_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7982-6

  • Online ISBN: 978-981-13-7983-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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