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CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICIP
2001
IEEE
16 years 8 months ago
Robust estimation of depth and motion using stochastic approximation
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
Rama Chellappa, Amit K. Roy Chowdhury
FSTTCS
2007
Springer
16 years 25 days ago
"Rent-or-Buy" Scheduling and Cost Coloring Problems
We study several cost coloring problems, where we are given a graph and a cost function on the independent sets and are to find a coloring that minimizes the function costs of the...
Takuro Fukunaga, Magnús M. Halldórss...
CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 6 months ago
The Freeze-Tag Problem: How to Wake Up a Swarm of Robots
An optimization problem that naturally arises in the study of swarm robotics is the Freeze-Tag Problem (FTP) of how to awaken a set of "asleep" robots, by having an awak...
Esther M. Arkin, Michael A. Bender, Sándor ...
LATIN
1998
Springer
15 years 11 months ago
Fast Two-Dimensional Approximate Pattern Matching
We address the problem of approximate string matching in two dimensions, that is, to nd a pattern of size m m in a text of size n n with at most k errors (substitutions, insertions...
Ricardo A. Baeza-Yates, Gonzalo Navarro