Abstract
This article reviews the development of experimental visual tracking algorithms which have been implemented using TRICLOPS (The Real-time, Intelligently-ControLled Optical Positioning System), a high-performance active vision system designed and built at the National Institute of Standards and Technology (NIST). These algorithms range from triangulation using simple targets for very high-speed tracking, to model-based techniques which allow robust tracking of polyhedral targets amidst cluttered backgrounds. In all cases, effective prediction of the target motion to compensate for image processing delays is critical to achieving responsive tracking.
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© 1996 Springer-Verlag Berlin Heidelberg
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Wavering, A.J., Schneiderman, H., Fiala, J.C. (1996). High-performance tracking with TRICLOPS. In: Li, S.Z., Mital, D.P., Teoh, E.K., Wang, H. (eds) Recent Developments in Computer Vision. ACCV 1995. Lecture Notes in Computer Science, vol 1035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60793-5_72
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DOI: https://doi.org/10.1007/3-540-60793-5_72
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