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A Boosted Particle Filter: Multitarget Detection and Tracking

Abstract:

The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Gaussian. Second, the presence of a large, varying number of objects creates complex interactions with overlap and ambiguities. To surmount these difficulties, we introduce a vision system that is capable of learning, detecting and tracking the objects of interest. The system is demonstrated in the context of tracking...

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Publisher copy:
10.1007/978-3-540-24670-1_3

Authors


Publisher:
Springer Berlin Heidelberg
Volume:
3021
Publication date:
2004-01-01
DOI:
URN:
uuid:696f0751-7d46-4ca9-a382-5287d9cfb4a2
Local pid:
cs:7522
ISBN:
978-3-540-21984-2

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