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» Robust Online Appearance Models for Visual Tracking
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CVPR
2012
IEEE
11 years 11 months ago
Online robust image alignment via iterative convex optimization
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
Yi Wu, Bin Shen, Haibin Ling
ICIP
2002
IEEE
14 years 10 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
NIPS
2004
13 years 10 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
IROS
2009
IEEE
184views Robotics» more  IROS 2009»
14 years 3 months ago
Fast and robust photomapping with an Unmanned Aerial Vehicle (UAV)
— A fast and robust method for visual odometry based on the Fourier-Mellin Invariant (FMI) descriptor is presented. It extends previous FMI based approaches in two ways. First, a...
Heikow Bülow, Andreas Birk
ICCV
2005
IEEE
14 years 10 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...