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Moving Object Detection Based on Self-adaptive Contour Extraction

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Book cover Image and Graphics (ICIG 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12888))

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Abstract

Object detection of moving targets requires both accuracy and real-time performance. In this paper, we propose a contour extraction prior to convolutional neural network to extract more salient features and use region proposal network to generate candidate regions. Afterwards, the feature maps and proposal regions are inputed to ROI pooling layer followed with some fully connected layers to classify objects and regress bounding box. Simulation experiments show that our method is effective in improving detection accuracy by testing on the dataset with 11 categories of moving targets.

Supported by the National Natural Science Foundation of China under Grant No.61806160 and Shaanxi Association for Science and Technology of Colleges and Universities Youth Talent Development Program, No. 20190112 and the Youth Innovation Team of Shaanxi Universities.

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Author information

Authors and Affiliations

  1. School of Computer Science, Xi’an Polytechnic University, Xi’an, Shaanxi, China

    Xin Shi, Tao Xue & Xueqing Zhao

  2. Shaanxi Key Laboratory of Clothing Intelligence, School of Computer Science, Xi’an Polytechnic University, Xi’an, 710048, China

    Xin Shi, Tao Xue & Xueqing Zhao

  3. National and Local Joint Engineering Research Center for Advanced Networking and Intelligent Information Service, Xi’an Polytechnic University, Xi’an, 710048, China

    Tao Xue & Xueqing Zhao

Authors
  1. Xin Shi
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  2. Tao Xue
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  3. Xueqing Zhao
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Corresponding author

Correspondence to Xueqing Zhao .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Yuxin Peng

  2. Tsinghua University, Beijing, China

    Shi-Min Hu

  3. Tampere University, Tampere, Finland

    Moncef Gabbouj

  4. Zhejiang University, Hangzhou, China

    Kun Zhou

  5. Technion – Israel Institute of Technology, Haifa, Israel

    Michael Elad

  6. Tsinghua University, Beijing, China

    Kun Xu

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Shi, X., Xue, T., Zhao, X. (2021). Moving Object Detection Based on Self-adaptive Contour Extraction. In: Peng, Y., Hu, SM., Gabbouj, M., Zhou, K., Elad, M., Xu, K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science(), vol 12888. Springer, Cham. https://doi.org/10.1007/978-3-030-87355-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-87355-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87354-7

  • Online ISBN: 978-3-030-87355-4

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