Publication Type:

Journal Article

Source:

Defence Science Journal, Volume 60, Number 1, p.39-47 (2010)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-75449109411&partnerID=40&md5=560ab828f9c7fdecf1419dc56e5248c8

Keywords:

Block matching algorithms, Error rate, Maximum likelihood, Maximum likelihood methods, Motion compensation, Motion region, Motion segmentation, Motion sequences, Motion Vectors, Similarity matrix, Slow moving objects, Spectral framework, Vectors

Abstract:

This paper presents a new motion segmentation method using iterative maximum likelihood framework. The method consists of two steps. In the first step, motion regions are detected and motion vectors are computed for these detected regions. In the second step, a similarity matrix is computed from the motion vectors and motion segmentation is done using maximum likelihood method. The method has been tested using real world motion sequences and is found to give very low error rate and it also detects the slow moving objects. © 2010, DESIDOC.

Notes:

cited By (since 1996)0

Cite this Research Publication

Ra Vrinthavani and Kaimal, M. Rb, “Motion segmentation Algorithm using Spectral Framework”, Defence Science Journal, vol. 60, pp. 39-47, 2010.