A model free hybrid algorithm for real time tracking

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 tha...

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Bibliographic Details
Main Authors: Pressigout, M., Marchand, E.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Application software
Computer vision
Image sequences
Jacobian matrices
Motion estimation
Parameter estimation
Robot vision systems
Robustness
Testing
Online Access:Request full text
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Description
Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2005.1530337