An adaptive motion estimation algorithm for irregular motion of objects

An adaptive motion estimation algorithm for irregular motion of objects

In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model...

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Bibliographische Detailangaben
Hauptverfasser: Kajo, Ibrahim, Malik, Aamir Saeed, Kamel, Nidal
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computational modeling
Diamond search
Force
Motion estimation
predicted motion vector
Prediction algorithms
Predictive models
PSNR
search points
social force model
surveillance
Vectors
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Beschreibung
Zusammenfassung:In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model, a predicted direction of the motion vectors can be estimated significantly.
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2014.6884365