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Object Modelling and Tracking in Videos via Multidimensional Features
Author
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
We propose to model a tracked object in a video sequence by locating a list of object features that are ranked according to their ability to differentiate against the image background.
The Bayesian inference is utilised to derive the probabilistic location of the object in the current frame, with the prior being approximated from the previous frame and the posterior achieved via the current pixel distribution of the object.
Consideration has also been made to a number of relevant aspects of object tracking including multidimensional features and the mixture of colours, textures, and object motion.
The experiment of the proposed method on the video sequences has been conducted and has shown its effectiveness in capturing the target in a moving background and with nonrigid object motion.
American Psychological Association (APA)
Jiang, Zhuhan. 2011. Object Modelling and Tracking in Videos via Multidimensional Features. ISRN Signal Processing،Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-451723
Modern Language Association (MLA)
Jiang, Zhuhan. Object Modelling and Tracking in Videos via Multidimensional Features. ISRN Signal Processing No. 2011 (2011), pp.1-15.
https://search.emarefa.net/detail/BIM-451723
American Medical Association (AMA)
Jiang, Zhuhan. Object Modelling and Tracking in Videos via Multidimensional Features. ISRN Signal Processing. 2011. Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-451723
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-451723