Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/132756
Title: Focused color intersection with efficient searching for object extraction
Authors: Vinod, V.V. 
Murase, H.
Keywords: Color intersection
Competitive matching
Focused matching
Indexing
Object extraction
Recognition
Issue Date: Oct-1997
Citation: Vinod, V.V., Murase, H. (1997-10). Focused color intersection with efficient searching for object extraction. Pattern Recognition 30 (10) : 1787-1797. ScholarBank@NUS Repository.
Abstract: We propose focused color intersection with efficient searching for identifying and extracting the objects in a complex scene based on color similarity. The method matches the models against different parts of a scene, called focus regions, using normalized color histogram intersection. The best matching focus region is determined by an efficient search strategy employing upper bound pruning. This search strategy, called active search, concentrates its effort on parts of the scene having high similarity with the object. Consequently, it achieves a large reduction in computational effort without sacrificing accuracy. An efficient algorithm for evaluating the color histogram intersection between a model and a focus region is also given. Experiments conducted demonstrate that multiple known objects in complex scenes can be extracted by this process. The method is stable against scale changes, two-dimensional rotation, moderate changes in shape and partial occlusion. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/132756
ISSN: 00313203
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

8
checked on Mar 11, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.