Dynamic Integration of Generalized Cues for Person Tracking

Authors:
Kai Nickel;Rainer Stiefelhagen
Affiliations:
Universität Karlsruhe (TH), InterACT, Karlsruhe, Germany 76131;Universität Karlsruhe (TH), InterACT, Karlsruhe, Germany 76131
Venue:
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Year:
2008

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Abstract

We present an approach for the dynamic combination of multiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of democratic integration and layered sampling. It is capable of dealing with deficiencies of single features as well as partial occlusion using the very same dynamic fusion mechanism. A set of simple but fast cues is defined, which allow us to cope with limited computational resources. The system is capable of automatic track initialization by means of a dedicated attention tracker permanently scanning the surroundings.