Abstract

This paper proposes a new method for the detection of moving cast shadows in natural video sequences. The variations of illumination generate in a shadow area are modelized assuming that the source light is fixed and unique, and that the surface on which the shadow is projected is plane and Lambertian. A local and global matching of this model is then done on the current image in order to obtain a first detection of the moving shadow areas. This matching process is based on a reference image which is assumed to contain no moving shadow. A spatio-temporal follow up of the obtained areas is applied in order to remove false detection. The proposed segmentation method was tested and validated on real video sequences.

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