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)

Dr. Alexander Ladikos

Working Group

Dr. Alexander Ladikos

Prof. Dr. Nassir Navab

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.