ProjectHybridTracking

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Hybrid Tracking

Hybrid Tracking

Scientific Director: Nassir Navab

Contact Person(s): Alexander Ladikos

Keywords: Computer Vision

Abstract

In this project a complete real-time model-based tracking system for piecewise-planar objects which combines template-based and feature-based approaches is being developed. The main contributions are an extension to the ESM algorithm used for template-based tracking and the formulation of a feature-based tracking approach, which is specifically tailored for use in a real-time setting. In order to cope with highly dynamic scenarios, such as illumination changes, partial occlusions and fast object movement, the system adaptively switches between template-based tracking, feature-based tracking and a global initialization phase. The tracking system achieves real-time performance by applying a coarse-to-fine optimization approach and includes means to detect a loss of track.

Pictures

Figure 1: GUI of the tracking application.
Figure 2: Tracking and augmenting a tea box.
Figure 3: Tracking and augmenting a tea box.
Figure 4:

Videos

Tracked and augmented sequence of a tea box.

Publications

2008
A. Ladikos, S. Benhimane, N. Navab
High Performance Model-Based Object Detection and Tracking
Computer Vision and Computer Graphics. Theory and Applications, Communications in Computer and Information Science, Vol. 21, Springer, 2008 (bib)
A. Ladikos, S. Benhimane, M. Appel, N. Navab
Model-Free Markerless Tracking for Remote Support in Unknown Environments
International Conference on Computer Vision Theory and Applications, Funchal, Portugal, January 2008. (bib)
2007
S. Benhimane, A. Ladikos, V. Lepetit, N. Navab
Linear and Quadratic Subsets for Template-Based Tracking
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, June 2007 (bib)
A. Ladikos, S. Benhimane, N. Navab
A Real-Time Tracking System Combining Template-Based and Feature-Based Approaches
International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007. (bib)

Team

Contact Person(s)

Alexander Ladikos
Dr. Alexander Ladikos

Working Group

Alexander Ladikos
Dr. Alexander Ladikos
Nassir Navab
Prof. Dr. Nassir Navab
Selim Benhimane
Dr. Eng. Selim Benhimane

Location



Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.



internal project page

Please contact Alexander Ladikos for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.14 - 17 Sep 2007 - 15:15 - AlexanderLadikos

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