DocumentCode
2379313
Title
A model free hybrid algorithm for real time tracking
Author
Pressigout, Muriel ; Marchand, Éric
Author_Institution
Rennes I Univ., France
Volume
3
fYear
2005
fDate
11-14 Sept. 2005
Abstract
Robustness and accuracy are major issues in real-time tracking. This paper describes a reliable tracking for markerless planar objects based on the fusion of visual cues and on the estimation of a 2D transformation. Its parameters are estimated by a non-linear minimization of an unique criterion that integrates information on both texture and edges. The efficiency and the robustness of the proposed method are tested on image sequences as well as during a robotic application.
Keywords
image sequences; image texture; object detection; parameter estimation; tracking; 2D transformation estimation; free hybrid algorithm; image sequences; markerless planar objects tracking; nonlinear minimization; parameters estimation; real time tracking; visual cues fusion; Active contours; Application software; Computer vision; Image sequences; Jacobian matrices; Motion estimation; Parameter estimation; Robot vision systems; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530337
Filename
1530337
Link To Document