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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Nickel, K., Stiefelhagen, R. (2008). Dynamic Integration of Generalized Cues for Person Tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds) Computer Vision – ECCV 2008. ECCV 2008. Lecture Notes in Computer Science, vol 5305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88693-8_38
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DOI: https://doi.org/10.1007/978-3-540-88693-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88692-1
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