Title :
An adaptive motion estimation algorithm for irregular motion of objects
Author :
Kajo, Ibrahim ; Malik, A.S. ; Kamel, N.
Author_Institution :
Dept. of Electr. & Electron., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
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.
Keywords :
computational complexity; motion estimation; adaptive motion estimation algorithm; block based matching method; computation complexity; irregular motion; motion estimation method; motion vectors; social force model; Computational modeling; Force; Motion estimation; PSNR; Prediction algorithms; Predictive models; Vectors; Diamond search; Motion estimation; predicted motion vector; search points; social force model; surveillance;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884365
