On the improvement of foreground–background model‐based object tracker
Author:
Affiliation:
1. Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddah21589Kingdom of Saudi Arabia
2. Department of Electrical EngineeringInstitute of Space TechnologyIslamabad44000Pakistan
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2016.0487
Reference28 articles.
1. Kristan M. Matas J. Leonardis A. et al: ‘The visual object tracking VOT2015 challenge results’.Proc. IEEE Int. Conf. on Computer Vision (ICCV) Workshops December2015 pp.1–23
2. Object tracking
3. Robust Object Tracking with Online Multiple Instance Learning
4. Real-Time Object Tracking Via Online Discriminative Feature Selection
5. Bolme D.S. Beveridge J.R. Draper B.A. et al: ‘Visual object tracking using adaptive correlation filters’.Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition 2010 pp.2544–2550
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