KEYWORDS: Image processing, Surveillance systems, Detection and tracking algorithms, Surveillance, Video surveillance, Video processing, Video, Visualization, RGB color model, Colorimetry
This paper proposes novel technique for elimination of moving objects self-generated illumination variations with respect to a fixed reference frame (background). In particular, proposed techniques can be used by a video-based surveillance system able to automatically detect potentially dangerous or particular situations happening within a guarded area. Proposed techniques are based on chromatic properties of cast shadows and illumination and achieved results demonstrate that the proposed approach can greatly improve performances of a video-surveillance system in term of the precision of detected objects. Presented processing techniques are necessary in the case of a real system that must be able to work with good performances twenty-four hours a day.
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