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Tracking interacting targets with laser scanner via on-line supervised learning | IEEE Conference Publication | IEEE Xplore

Tracking interacting targets with laser scanner via on-line supervised learning

Publisher: IEEE

Abstract:

Successful multi-target tracking requires locating the targets and labeling their identities. For the laser based tracking system, the latter becomes significantly more c...View more

Abstract:

Successful multi-target tracking requires locating the targets and labeling their identities. For the laser based tracking system, the latter becomes significantly more challenging when the targets frequently interact with each other. This paper presents a novel on-line supervised learning based method for tracking interacting targets with laser scanner. When the targets do not interact with each other, we collect samples and train a classifier for each target. When the targets are in close proximity, we use these classifiers to assist in tracking. Different evaluations demonstrate that this method has a better tracking performance than previous methods when interactions occur, and can maintain correct tracking under various complex tracking situations.
Date of Conference: 19-23 May 2008
Date Added to IEEE Xplore: 13 June 2008
ISBN Information:
Print ISSN: 1050-4729
Publisher: IEEE
Conference Location: Pasadena, CA, USA

References

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