Multi-object tracking using hybrid observation in PHD filter

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Multi-object tracking using hybrid observation in PHD filter

In this paper, we propose a novel multi-object tracking method to track unknown number of objects with a single camera system. We design the tracking method via probability hypothesis density (PHD) filtering which considers multiple object states and their observations as random finite sets (RFSs)....

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Bibliographic Details
Main Authors:	Yoon, J., Yoon, K., Kim, Du Yong
Format:	Conference Paper
Published:	2013
Online Access:	http://hdl.handle.net/20.500.11937/55155

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