Visual tracking via geometric particle filtering on the affine group with optimal importance functions

We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinate-invariant particle filtering on the 2-D affine group Aff(2). Tracking performance is further enhanced through a geometrically defined o...

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Published in2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 991 - 998
Main Authors Junghyun Kwon, Kyoung Mu Lee, Park, Frank C
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Filtering
Gaussian distribution
Motion estimation
Particle measurements
Particle tracking
Predictive models
Principal component analysis
Taylor series
Two dimensional displays
Video sequences
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Abstract We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinate-invariant particle filtering on the 2-D affine group Aff(2). Tracking performance is further enhanced through a geometrically defined optimal importance function, obtained explicitly via Taylor expansion of a principal component analysis based measurement function on Aff(2). The efficiency of our approach to tracking is demonstrated via comparative experiments.
AbstractList We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinate-invariant particle filtering on the 2-D affine group Aff(2). Tracking performance is further enhanced through a geometrically defined optimal importance function, obtained explicitly via Taylor expansion of a principal component analysis based measurement function on Aff(2). The efficiency of our approach to tracking is demonstrated via comparative experiments.
Author Park, Frank C
Kyoung Mu Lee
Junghyun Kwon
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  surname: Junghyun Kwon
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  organization: Dept. of EECS, Seoul Nat. Univ., Seoul, South Korea
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  surname: Kyoung Mu Lee
  fullname: Kyoung Mu Lee
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  givenname: Frank C
  surname: Park
  fullname: Park, Frank C
  email: fcp@snu.ac.kr
  organization: Sch. of MAE, Seoul Nat. Univ., Seoul, South Korea
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Snippet We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of...
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StartPage 991
SubjectTerms Filtering
Gaussian distribution
Motion estimation
Particle measurements
Particle tracking
Predictive models
Principal component analysis
Taylor series
Two dimensional displays
Video sequences
Title Visual tracking via geometric particle filtering on the affine group with optimal importance functions
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