A new algorithm is presented for feature point tracking with multi-view constraint. Dynamic scenes with multiple,
independently moving objects are considered in which objects may temporarily disappear, enter and leave the view field.
Different from most of existing approaches to feature point tracking, 3D spatial geometry constraint is utilized to make
tracking more stable and fit the real 3D motion of objects, linking flags and matching flags is proposed to describe the
complex relationship of feature points observed by multiple cameras. Results for synthetic motion sequences are
presented.
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