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Accession Number ADA564053
Title Geometric Methods for Controlled Active Vision.
Publication Date Feb 2012
Media Count 31p
Personal Author A. Tannenbaum
Abstract In this just completed research program, we developed several new directions for our work in controlled active vision. We have developed a general framework for geometric observer-like structures based on non- parametric implicit (level set) curve descriptions of dynamically varying shapes. Special emphasis was given to the geometric nature of the dynamical system as well as the key issue of robustness. In particular, we formulated an approach to the problem of information transport and filtering from a measurement curve to an estimated curve. In this framework, we may naturally incorporate several different tools such as particle filtering and segmentation methods.
Keywords Controlled active vision
Curvature based flows
Geometry
Information theory
Optical tracking
Segmented
Shape
Vision
Visual tracking


 
Source Agency Non Paid ADAS
NTIS Subject Category 72B - Algebra, Analysis, Geometry, & Mathematical Logic
Corporate Author Georgia Tech Research Inst., Atlanta.
Document Type Technical report
Title Note Final rept. 1 Dec 2008-30 Nov 2011.
NTIS Issue Number 1302
Contract Number FA9550-09-1-0172

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