An algorithm for object-oriented motion estimation is presented. The algorithm initially determines a macro-block partition on the basis of the computed current frame difference, using the hidden information that a foreground moving object produces high absolute frame difference values in the neighborhood of the object boundaries. An inter-frame coding algorithm, adopting a modified version of classical block matching is then applied on separate slices of each macro-block. Resulting data are used to obtain a preliminary object segmentation. The algorithm further splits each macro-block if characterized by the presence of more than one motion vector into sub-areas. The approach allows us to obtain a global object segmentation-with the possibility of tracking-and lower prediction errors with respect to classical block matching, without increasing the computational complexity.

Object oriented motion estimation by sliced-block matching algorithm / Guaragnella, Cataldo; DI SCIASCIO, Eugenio. - 15:3(2000), pp. 857-860. (Intervento presentato al convegno IEEE International Conference on Pattern Recognition, ICPR 2000 tenutosi a Barcekona, Spain nel September 03-07, 2000) [10.1109/ICPR.2000.903678].

Object oriented motion estimation by sliced-block matching algorithm

GUARAGNELLA, Cataldo;DI SCIASCIO, Eugenio
2000-01-01

Abstract

An algorithm for object-oriented motion estimation is presented. The algorithm initially determines a macro-block partition on the basis of the computed current frame difference, using the hidden information that a foreground moving object produces high absolute frame difference values in the neighborhood of the object boundaries. An inter-frame coding algorithm, adopting a modified version of classical block matching is then applied on separate slices of each macro-block. Resulting data are used to obtain a preliminary object segmentation. The algorithm further splits each macro-block if characterized by the presence of more than one motion vector into sub-areas. The approach allows us to obtain a global object segmentation-with the possibility of tracking-and lower prediction errors with respect to classical block matching, without increasing the computational complexity.
2000
IEEE International Conference on Pattern Recognition, ICPR 2000
0-7695-0750-6
Object oriented motion estimation by sliced-block matching algorithm / Guaragnella, Cataldo; DI SCIASCIO, Eugenio. - 15:3(2000), pp. 857-860. (Intervento presentato al convegno IEEE International Conference on Pattern Recognition, ICPR 2000 tenutosi a Barcekona, Spain nel September 03-07, 2000) [10.1109/ICPR.2000.903678].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/14012
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