Multiple object tracking in unknown backgrounds with labeled random finite sets

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Multiple object tracking in unknown backgrounds with labeled random finite sets

This paper proposes an online multiple object tracker that can operate under unknown detection profile and clutter rate. In a majority of multiple object tracking applications, model parameters for background processes such as clutter and detection are unknown and vary with time; hence, the ability...

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Bibliographic Details
Main Authors:	Punchihewa, Y., Vo, Ba Tuong, Vo, B., Kim, Du Yong
Format:	Journal Article
Published:	IEEE 2018
Online Access:	http://purl.org/au-research/grants/arc/DP160104662 http://hdl.handle.net/20.500.11937/66760

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