We propose in this paper, a methodology for combining contextual information and sensors derived information to improve the process of data fusion. Even if this methodology can be used in different types of fusion processes (detection, classification, etc.), we focus here on a multisensor tracking one. The objective of this combination is to supervise the classical fusion process by context analysis so that this fusion process can adapt itself to the variations of the context.
CITATION STYLE
Nimier, V. (2016). Supervising the Fusion Process by Context Analysis for Target Tracking. In Advances in Computer Vision and Pattern Recognition (pp. 271–295). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-28971-7_11
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