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Shadow Removal for Greyscale Video Sequences

Kryjak T.

Image Processing & Communications

2012

Vol. 17, no. 4

117--130

The paper presents a shadow detection and elimination algorithm designed for greyscale video sequences. The paper proposes: an automatic method for determining the binarization threshold on the basis of the object edge analysis, division of areas identified as potential shadow using a rectangular grid, analyzing the similarities between the current frame and the background model performed in areas and analyzing the potential shadows areas position relative to the position of areas identified as a true object. The algorithm was designed to eliminate shadows casted by people in video surveillance sequences. The obtained results show the usefulness of the proposed solution.

Image Preprocessing for Illumination Invariant Face Verification

Leszczyński M.

Journal of Telecommunications and Information Technology

2010

nr 4

19-25

Performance of the face verification system depend on many conditions. One of the most problematic is varying illumination condition. In this paper 14 normalization algorithms based on histogram normalization, illumination properties and the human perception theory were compared using 3 verification methods. The results obtained from the experiments showed that the illumination preprocessing methods significantly improves the verification rate and it's a very important step in face verification system.