Paper Info
Title
Multiple motion object segmentation based on homogenous region merging
Abstract
In this paper, a novel multiple motion object segmentation scheme based on homogenous region merging is presented. This scheme is based on utilization of a robust multiresolution motion estimator that can provide good motion estimates from irregularly-shaped regions. In addition, a novel region-merging criterion and an iterative region-merging process have been proposed. Experimental results demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2001
10.1109/ISCAS.2001.922013
ISCAS (5)
Keywords
Field
DocType
robustness,motion estimation,iterative methods,merging,image segmentation,testing,computer vision,data mining,object recognition
Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Iterative method,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Motion estimation,Estimator,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Hong Li1108.36
Bee June Tye281.37
Ee Ping Ong331333.36
Weisi Lin45366280.14
Chi Chung Ko575381.90