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Relating information originating from disparate sensors observing a given scene is a challenging task, particularly when an appropriate model of the environment or the behaviour of any particular object within it is not available. One possible strategy to address this task is to examine whether the sensor outputs contain information which can be attributed to a common cause. In this paper, we present an approach to localise this embedded common information through an indirect method ofdoi:10.1109/iros.2009.5354200 dblp:conf/iros/AlempijevicKD09 fatcat:4hy7phprhreqvhjqzkrr2wqulm