Abstract
Human motion analysis methods have received increasing attention during the last two decades. In parallel, data fusion technologies have emerged as a powerful tool for the estimation of properties of objects in the real world. This papers presents a view of human motion analysis from the viewpoint of data fusion. JDL process model and Dasarathy's input-output hierarchy are employed to categorize the works in the area. A survey of the literature in human motion analysis from multiple cameras is included. Future research directions in the area are identified after this review. © 2013 Springer-Verlag.
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Cilla, R., Patricio, M. A., Berlanga, A., & Molina, J. M. (2013). A data fusion perspective on human motion analysis including multiple camera applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7931 LNCS, pp. 149–158). https://doi.org/10.1007/978-3-642-38622-0_16
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