NDLI: Online learning of mixture experts for real-time tracking

Content Provider	IET Digital Library
Author	Gu, S. Ma, Z. Xie, M. Chen, Z.
Abstract	Template tracking has been extensively investigated in computer vision to track objects for various applications. Tracking based on gradient descent algorithm using image gradient is one of the most popular object tracking method. However, it is difficult to define the relationship between the observed data set and the warping function due to the unobserved heterogeneity of the data set which inevitably results in poor tracking performance. This study proposes a novel method based on hierarchical mixture of expert to perform robust, real-time tracking from stationary cameras. By extending the idea of hyperplane approximation, the proposed approach establishes a hierarchical mixture of generalised linear regression model instead of a single model which reduces the non-linear error. The experiments’ results show significant improvement over the traditional hyperplane approximation (HA) approach.
Starting Page	585
Ending Page	592
Page Count	8
ISSN	17519632
Volume Number	10
e-ISSN	17519640
Issue Number	Issue 6, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0210
Journal	IET Computer Vision
Publisher Date	2016-03-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Computer Vision Computer Vision And Image Processing Technique Generalised Linear Regression Model Gradient Descent Algorithm Gradient Method Hyperplane Approximation Image Sonsor Interpolation And Function Approximation Knowledge Engineering Technique Learning in AI Mixture Model Numerical Analysis Object Tracking Object Tracking Method Observed Data Set Online Mixture Experts Learning Optical, Image And Video Signal Processing Regression Analysis Stationary Cameras Statistics Template Tracking Warping Function
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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