Authors:
Alexander Ladikos
;
Selim Benhimane
and
Nassir Navab
Affiliation:
Technical University of Munich, Germany
Keyword(s):
Real-Time Vision, Model-Based Object Tracking, Feature-based Tracking, Template-based Tracking.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Model-Based Object Tracking in Image Sequences
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Real-Time Vision
Abstract:
In this paper we propose a complete real-time model-based tracking system for piecewise-planar objects which combines template-based and feature-based approaches. Our contributions are an extension to the ESM algorithm (Benhimane and Malis, 2004) 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 the template-based tracking, the feature-based tracking and a global initialization phase. Our tracking system achieves real-time performance by applying a coarse-to-fine optimization approach and includes means to detect a loss of track.