Authors:
McElory Hoffmann
;
Ben Herbst
and
Karin Hunter
Affiliation:
Applied Mathematics, University of Stellenbosch, South Africa
Keyword(s):
Model-based Object tracking in Image Sequences, Motion and Tracking, Active Appearance Models, Active Contours, Particle Filters.
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
;
Tracking of People and Surveillance
Abstract:
The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper,
we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active contour, incorporating shape history into the tracker. The second approach combines AAMs and the particle filter, consequently employing both shape and texture history into the tracker. For each approach, a simple occlusion detection method is suggested, enabling us to address occlusion.