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要旨:
In this paper, we propose the combined use of complementary concepts for 3D
tracking: region fitting on one side, and dense optical flow as well as tracked
SIFT features on the other. Both concepts are chosen such that they can
compensate for the shortcomings of each other. While tracking by the object
region can prevent the accumulation of errors, optical flow and SIFT can handle
larger transformations. Whereas segmentation works best in case of homogeneous
objects, optical flow computation and SIFT tracking rely on sufficiently
structured objects. We show that a sensible combination yields a general
tracking system that can be applied in a large variety of scenarios without the
need to manually adjust weighting parameters.