Conference item icon

Conference item

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...

Expand abstract

Actions


Access Document


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

Authors


Kenji Okuma More by this author
Ali Taleghani More by this author
Nando Freitas More by this author
James J. Little More by this author
David G. Lowe More by this author
Publisher:
Springer Berlin Heidelberg
Volume:
3021
Publication date:
2004
DOI:
URN:
uuid:696f0751-7d46-4ca9-a382-5287d9cfb4a2
Local pid:
cs:7522
ISBN:
978-3-540-21984-2

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP