Paper Title
Multi-object model free tracker
Article Identifiers
Authors
Manjunathraddi Bentur , Sweta R.H , AnuradhaV.K. , Madhu V.H. , Laxmi K.
Keywords
SVM Algorithm, Image processing, MATLAB
Abstract
Model free trackers can track the hard-handed objects and analysis of these objects with single bounded box. Model free trackers are playing vital role with simultaneously tracking multiple objects with similar appearance. To solve this we used a new multi-object model free tracker by considering the spatial constraints between the objects. In this paper, we explained an online structured SVM algorithm, which helps to learn the spatial constraints. We demonstrated with experimental results, how the structure-preserving object tracker (SPOT) performance betterments in multi-object tracking and also single object trackers can tracking different parts of the objects occurring at the same time.
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How To Cite (APA)
Manjunathraddi Bentur, Sweta R.H, AnuradhaV.K., Madhu V.H., & Laxmi K. (May-2017). Multi-object model free tracker . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(5), 148-155. https://ijnrd.org/papers/IJNRD1705032.pdf
Issue
Volume 2 Issue 5, May-2017
Pages : 148-155
Other Publication Details
Paper Reg. ID: IJNRD_170059
Published Paper Id: IJNRD1705032
Downloads: 000121984
Research Area: Engineering
Country: GADAG, KARNATAKA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1705032.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1705032
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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