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Chinese Conference on Pattern Recognition and Computer Vision (PRCV)

PRCV 2019: Pattern Recognition and Computer Vision pp 149–160Cite as

Crime Scene Sketches Classification Based on CNN

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11859))

Abstract

Crime scene sketch plays a significant role in criminal investigation. In China, the crime scene sketches of all criminal cases should be uploaded to the National Criminal Scene Investigation Information System (NCSIIS). However, there are wrong images and low quality sketches frequently being uploaded to NCSIIS, which would make crime scene sketches unable to undertake their tasks. Yet, checking the sketches uploaded to NCSIIS still reamins as a manual work by the police officers. In this paper, we focus on a new problem of crime scene sketches classification. Firstly, a crime scene sketches database was constructed, sampled from NCSIIS. Secondly, an automatic crime scene sketches classification method is proposed based on CNN. A new architecture, namely Crime Scene Sketch Net (CSS-Net) is designed for high accuracy. Experiments are conducted on the database constructed. The experimental results show that the method proposed by this paper is of good performance.

This paper is a student paper

This work is supported by the National Key Research and Development Program (Grant No. 2017YFC0803506), the Ministry of Public Security Technical Research Project (Grant No. 2018JSYJC20), the Opening Project of Shanghai Key Laboratory of Crime Scene Evidence (Grant No. 2017XCWZK18).

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Author information

Authors and Affiliations

  1. School of Criminal Investigation and Forensic Science, People’s Public Security University of China, Beijing, China

    Kaixuan Wang, Houlu Zhang & Yunqi Tang

Authors
  1. Kaixuan Wang
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  2. Houlu Zhang
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  3. Yunqi Tang
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Corresponding author

Correspondence to Yunqi Tang .

Editor information

Editors and Affiliations

  1. School of EECS, Peking University, Beijing, China

    Zhouchen Lin

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Liang Wang

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

    Jian Yang

  4. Xidian University, Xi’an, China

    Guangming Shi

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Institute of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China

    Nanning Zheng

  7. Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  8. Northwestern Polytechnical University, Xi’an, China

    Yanning Zhang

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Cite this paper

Wang, K., Zhang, H., Tang, Y. (2019). Crime Scene Sketches Classification Based on CNN. In: Lin, Z., et al. Pattern Recognition and Computer Vision. PRCV 2019. Lecture Notes in Computer Science(), vol 11859. Springer, Cham. https://doi.org/10.1007/978-3-030-31726-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-31726-3_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31725-6

  • Online ISBN: 978-3-030-31726-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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