Abstract
In this chapter, we will present a case-study consisting of a two-tiered hierarchical Bayesian model to estimate the location of objects moving independently from the observer, reported in the publication by Lobo, Ferreira, Trindade, and Dias [1].
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Ferreira, J.F., Dias, J. (2014). Case-Study: Bayesian 3D Independent Motion Segmentation with IMU-aided RBG-D Sensor. In: Probabilistic Approaches to Robotic Perception. Springer Tracts in Advanced Robotics, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-319-02006-8_7
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DOI: https://doi.org/10.1007/978-3-319-02006-8_7
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