Data fusion of radar and image measurements for multi-object tracking via Kalman filtering

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Data fusion of radar and image measurements for multi-object tracking via Kalman filtering

Data fusion is an important issue for object tracking in autonomous systems such as robotics and surveillance. In this paper, we present a multiple-object tracking system whose design is based on multiple Kalman filters dealing with observations from two different kinds of physical sensors. Hardware...

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Bibliographic Details
Main Authors:	Kim, Du Yong, Jeon, M.
Format:	Journal Article
Published:	Elsevier Inc 2014
Online Access:	http://hdl.handle.net/20.500.11937/56423

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