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Handling Shadow and Illumination for Video Surveillance

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Shadows and reflections cause one of the most confusing effects on detection and tracking of moving objects. While there are a few effective tracking methods that take advantage of shadows casted by objects in motion, largearea shadows casted on the objects by surrounding environments, e.g. buildings, are still disturbing. Therefore, factoring out interferences caused by illumination changes can provide stable appearances and features of the moving objects. In this paper we present a method to normalize the target image sequence with regards to illumination variation, i.e. eliminating shadows and brightness changes of moving objects, as a preprocessing stage of video surveillance and object tracking. The method is demonstrated over our urban scene image dataset which has drastic lighting variation.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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