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Drift Handling in Object Tracking by Sparse Representations  

Yeo, JungYeon (전남대학교 전자컴퓨터공학과)
Lee, Guee Sang (전남대학교 전자컴퓨터공학과)
Publication Information
Smart Media Journal / v.5, no.1, 2016 , pp. 88-94 More about this Journal
Abstract
In this paper, we proposed a new object tracking algorithm based on sparse representation to handle the drifting problem. In APG-L1(accelerated proximal gradient) tracking, the sparse representation is applied to model the appearance of object using linear combination of target templates and trivial templates with proper coefficients. Also, the particle filter based on affine transformation matrix is applied to find the location of object and APG method is used to minimize the l1-norm of sparse representation. In this paper, we make use of the trivial template coefficients actively to block the drifting problem. We experiment the various videos with diverse challenges and the result shows better performance than others.
Keywords
object tracking; sparse representation; APG-L1; occlusion; drift;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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