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Passive infrared localization with a Probability Hypothesis Density filter

Authors: Jürgen Kemper; Daniel Hauschildt;

Passive infrared localization with a Probability Hypothesis Density filter

Abstract

In passive infrared localization (PIL) humans are located based on their thermal radiation. Thus, an active tag is not required and privacy is guaranteed due to non-identifying sensors. However, in case of multi-target tracking, the non-identifying sensors result in missing associations between targets and measurements. As additionally the number of humans in the surveillance region is unknown and varying, conventional localization approaches like the JPDA or MHT filter cannot be applied since they require a fixed number of targets or are not tractable.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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