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An Innovative SIFT-Based Method for Rigid Video Object Recognition
Joint Authors
Xiong, Jian
Yu, Jie
Zhang, Fengli
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents an innovative SIFT-based method for rigid video object recognition (hereafter called RVO-SIFT).
Just like what happens in the vision system of human being, this method makes the object recognition and feature updating process organically unify together, using both trajectory and feature matching, and thereby it can learn new features not only in the training stage but also in the recognition stage, which can improve greatly the completeness of the video object’s features automatically and, in turn, increases the ratio of correct recognition drastically.
The experimental results on real video sequences demonstrate its surprising robustness and efficiency.
American Psychological Association (APA)
Yu, Jie& Zhang, Fengli& Xiong, Jian. 2014. An Innovative SIFT-Based Method for Rigid Video Object Recognition. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-448807
Modern Language Association (MLA)
Yu, Jie…[et al.]. An Innovative SIFT-Based Method for Rigid Video Object Recognition. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-448807
American Medical Association (AMA)
Yu, Jie& Zhang, Fengli& Xiong, Jian. An Innovative SIFT-Based Method for Rigid Video Object Recognition. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-448807
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448807