Acta Optica Sinica, Volume. 39, Issue 3, 0315003(2019)
Moving Shadow Detection Based on Regional Radiation Consistency
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
Category: Machine Vision
Received: Apr. 20, 2018
Accepted: Nov. 8, 2018
Published Online: May. 10, 2019
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