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Video Object Tracking Based On Extended Active Shape Models With Color Information

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Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa sing importance to many applications. For the tracking of such objects in a video sequence e.g. “active shape models” can be applied. The existing active shape models are usually based on intensity information and they do not consider color information. However, active shape models are sensitive to outliers, especially in the case of partial object occlusions. In this paper, we present an extension of the active shape model for color images and we examine to what extent the use of color information can contribute to the solution of the outlier problem.
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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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