Title
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract
This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM's). The algorithm organizes edge points into strokes and computes the association between those strokes and the ACM's using the component wise EM algorithm (CEM) for MAP estimation. The algorithm is randomly initialized with a high number of ACM's and performs online model selection using importance sampling. Experimental results show the effectiveness of the proposed technique.
Year
DOI
Venue
2007
10.1007/978-3-540-72849-8_47
IbPRIA (2)
Keywords
Field
DocType
importance sampling,unknown locations,algorithm organizes edge point,multiple objects,multiple active contour model,multiple region,map estimation,active contours,high number,proposed technique,component wise em algorithm,online model selection,active contour,active contour model,em algorithm,model selection
Active contour model,Computer vision,Importance sampling,Pattern recognition,Expectation–maximization algorithm,Computer science,Artificial intelligence,Online model
Conference
Volume
ISSN
Citations 
4478
0302-9743
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Margarida Silveira110910.48
Jorge S. Marques253567.78