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MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 9 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
13 years 9 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...
ICCV
2005
IEEE
15 years 3 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
ACL
2001
14 years 11 months ago
An Empirically Motivated Algorithm for the Generation of Multimodal Referring Expressions
We describe an algorithm for generating multimodal referring expressions, based on empirical data. The main novelties are (1) a decision to point based on both the efficiency of p...
Ielka van der Sluis
CVPR
1999
IEEE
16 years 1 days ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...