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Summary: Real-time Detection of Maneuvering Objects
by a Monocular Observer
Antonis A. Argyros, Manolis I.A. Lourakis,
Panos E. Trahanias and Stelios C. Orphanoudakis
Institute of Computer Science, FORTH
PO Box 1385, Heraklion, Crete 711-10
Greece
and
Computer Science Department, University of Crete
PO Box 1470, Heraklion, Crete 714-09
Greece
e-mail: fargyros, lourakis, trahania, orphanoug@ics.forth.gr
Abstract
A method is proposed for real-time detection of objects that maneuver in the visual field
of a monocular observer. Such cases are common in natural environments where the 3D
motion parameters of certain objects (e.g. animals) change considerably over time. The
approach taken conforms with the theory of purposive vision, according to which vision
algorithms should solve many, specific problems under loose assumptions. The method
can effectively answer two important questions: (a) whether the observer has changed his
3D motion parameters, and (b) in case that the observer has constant 3D motion, whether
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