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Ali et al. [37] presented an approach that learned a specific model by propagating a sparsely labeled training video based on object tracking.
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During object tracking, segmentation quality measures based on object color and motion contrast are taken.
Several authors believe that the capacity of rapid and accurate numerical judgments on small sets of items is based on an object-tracking system [21], [22].
Simulation results, based on the tracking of an object falling in space, are presented, which substantiate practical validity of the superior performance of a fore-active tracking radar over a traditional active radar with fixed waveform.
Therefore, this research is intended to model a moving object based on tracking a minimum quantity of dynamic control points on the object.
Compared with the target object tracking algorithm, the embedded tracking algorithm based on visual object compression has a significant advantage in the reconstruction of the moving target.
Fig. 20 Comparison of methods based on tracking error in object deformation for image sequences of Fig. 19.
Skin models can also be effectively adapted given a skin sample, acquired based on tracking skin-like objects in video sequences [33], or relying on face [11, 34] or hand [3] detection.
In these methods, identification and object tracking based on features of intended object for tracking will be carried out.
Fig. 26 Comparison of different algorithms in object tracking under low contrast condition based on tracking error.
The detection of moving objects is based on individual tracked feature points.
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