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Visual Tracking Using 3D Data and Region-Based Active Contours

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Technical Report,15 Sep 2010,16 Dec 2012

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Georgia Tech Research Corporation Atlanta United States

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Our research was concerned with the theory and practice of visual information in a feedback loop, the underlying problem of controlled active vision. Controlled active vision requires the integration of techniques from control theory, signal processing, and computer vision. Visual tracking provides an important example of the need for controlled active vision. Tracking in the presence of a disturbance is a classical control issue, but because of the highly uncertain nature of the disturbance, this type of problem is very difficult. Visual tracking differs from standard tracking problems since the feedback signal is measured using imaging sensors. In particular, it has to be extracted via computer vision and image processing algorithms and interpreted by a reasoning algorithm before being used in the control loop. The development of robust, reliable visual tracking algorithms will be one of the main challenges in our proposed research.

Subject Categories:

  • Target Direction, Range and Position Finding

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