The problem of estimating the position of and tracking an object
undergoing 3-D translational and rotational motion using passive and active
sensors is considered. The passive sensor used in this study is a stereo
camera, whereas the active is a range radar. Three different estimation
approaches are considered. The first involves estimation of the object
position by direct registration of stereo images. In the second approach, the
Extended Kalman Filter is used for estimation with measurements the stereo
images. In the third approach, an integral filter based on stereo images and
range radar measurements is used for tracking. The three different approaches
are compared via simulation in the tracking of an object undergoing a 3-D
motion with random translational and angular accelaration.
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Stelios C.A. Thomopoulos, Lars Nillson, "3-D motion tracking using stereo camera and range radar," Proc. SPIE 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes, (1 January 1990);