Active drift correction template tracking algorithm

This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves synchronously object tracking and drift correction, and save half running time. For the template drift problem during long sequential object t...

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Published in:2012 19th IEEE International Conference on Image Processing pp. 397 - 400
Main Authors: Baojie Fan, Yingkui Du, Yang Cong, Yandong Tang
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2012
Subjects:
Active appearance model
Active drift correction
Algorithm design and analysis
Cameras
inverse compositional algorithm
Object tracking
Robustness
Target tracking
template tracking
ISBN:1467325341, 9781467325349
ISSN:1522-4880
Online Access:Get full text
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Abstract This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves synchronously object tracking and drift correction, and save half running time. For the template drift problem during long sequential object tracking, we introduce the active drift correction term into inverse compositional affine image alignment algorithm. This operation can avoid the template drift before it occurs, or reduce the drift after it happens. The total energy function consists of two terms: the tracking term and the active drift correction term. By minimizing the total energy function with the steepest descent algorithm, the proposed algorithm can decrease the accumulative tracking error, and prevent the drift during the tracking process effectively. Various object tracking experiments show that our method has super performance than the passive drift correction algorithm in [8].
AbstractList This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves synchronously object tracking and drift correction, and save half running time. For the template drift problem during long sequential object tracking, we introduce the active drift correction term into inverse compositional affine image alignment algorithm. This operation can avoid the template drift before it occurs, or reduce the drift after it happens. The total energy function consists of two terms: the tracking term and the active drift correction term. By minimizing the total energy function with the steepest descent algorithm, the proposed algorithm can decrease the accumulative tracking error, and prevent the drift during the tracking process effectively. Various object tracking experiments show that our method has super performance than the passive drift correction algorithm in [8].
Author Yang Cong
Yandong Tang
Baojie Fan
Yingkui Du
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  organization: State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
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  surname: Yandong Tang
  fullname: Yandong Tang
  organization: State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
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Snippet This paper presents a novel active drift correction template tracking algorithm. Compared to Matthews' algorithm in [8], the proposed algorithm achieves...
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StartPage 397
SubjectTerms Active appearance model
Active drift correction
Algorithm design and analysis
Cameras
inverse compositional algorithm
Object tracking
Robustness
Target tracking
template tracking
Title Active drift correction template tracking algorithm
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