|
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
|
