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ICPR
2006
IEEE
14 years 5 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
JCP
2008
127views more  JCP 2008»
13 years 4 months ago
Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
In this paper, a model free uncalibrated visual servoing algorithm based on recursive least squares is proposed and discussed in depth. No robot kinetics or dynamics, camera calibr...
Miao Hao, Peter Deuflhard, Zengqi Sun, Masakazu Fu...
ICIP
2005
IEEE
14 years 6 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
13 years 9 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
ICIAP
2007
ACM
14 years 4 months ago
Adaptive uncertainty estimation for particle filter-based trackers
In particle filter?based visual trackers, dynamic velocity components are typically incorporated into the state update equations. In these cases, there is a risk that the uncertai...
Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Di...