Paper Info
Title
Real time planar structure tracking for visual servoing: a contour and texture approach
Abstract
Robustness and accuracy are major issues in real- time object tracking in image sequences. This paper describes a reliable tracking for markerless objects based on the fusion of visual cues and on the estimation of a 2D transformation. The parameters of this transformation are estimated using a non-linear minimization of a unique criterion that integrates information both on the texture and the edges of the tracked object. The proposed tracker is then more robust and succeeds in conditions where methods based on a single cue fail. The efficiency and the robustness of the proposed method are tested on image sequences as well as during an image-based visual servoing experiment. I. INTRODUCTION
Year
DOI
Venue
2005
10.1109/IROS.2005.1545223
Intelligent Robots and Systems, 2005.
Keywords
Field
DocType
image motion analysis,image sequences,image texture,parameter estimation,robot vision,robust control,tracking,image sequences,markerless object,nonlinear minimization,object texture,parameter estimation,real time planar structure tracking,real-time object tracking,transformation estimation,visual servoing
Sensory cue,Computer vision,Image texture,Computer science,Robustness (computer science),Minification,Video tracking,Visual servoing,Artificial intelligence,Estimation theory,Robust control
Conference
ISBN
Citations 
PageRank 
0-7803-8912-3
9
0.66
References 
Authors
13
2
Name
Order
Citations
PageRank
Muriel Pressigout129115.52
E. Marchand21605114.99