Acta Optica Sinica, Volume. 39, Issue 3, 0315003(2019)

Moving Shadow Detection Based on Regional Radiation Consistency

Haiyong Chen, Lizhong Qie, and Kun Liu*
Author Affiliations
  • School of Artifical Intelligent, Hebei University of Technology, Tianjin 300130, China
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    In order to simultaneously detect the shadow and penumbra regions, this study proposes and proves the consistent properties of shadow region radiation. Point collection in contour (PCC) within the outline of the super-pixel region corresponding to moving object is obtained, and the PCC is divided into the object foreground area (foreground PCC) and the shadow area (shadow PCC). With the proposed region-based full shadow detection and object mask growth algorithm, the foreground object mask is inversely grown by combing the complete shadow region, the complete foreground region and the ViBe mask of the moving object. The experimental results in the public dataset show that the average accuracy of the shadow detection of the proposed method reaches 82.5%, and the performance is significantly better reaches the traditional method. The average growth rate of the object mask reaches 8.84%, and the accuracy rate reaches over 95%.

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    Haiyong Chen, Lizhong Qie, Kun Liu. Moving Shadow Detection Based on Regional Radiation Consistency[J]. Acta Optica Sinica, 2019, 39(3): 0315003

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    Paper Information

    Category: Machine Vision

    Received: Apr. 20, 2018

    Accepted: Nov. 8, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0315003

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