Document Detail


Integrating color and shape-texture features for adaptive real-time object tracking.
MedLine Citation:
PMID:  18270115     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability. The target model is updated according to the similarity between the initial and current models, and this makes the tracker more robust. The proposed algorithm has been compared with other trackers using challenging image sequences, and it provides better performance.
Authors:
Junqiu Wang; Yasushi Yagi
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Publication Detail:
Type:  Letter    
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  17     ISSN:  1057-7149     ISO Abbreviation:  IEEE Trans Image Process     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-02-13     Completed Date:  2008-03-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  United States    
Other Details:
Languages:  eng     Pagination:  235-40     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Color*
Colorimetry / methods*
Computer Systems
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Motion
Pattern Recognition, Automated / methods*
Systems Integration

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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