JOURNAL ARTICLE

A New Template Tracking Algorithms Based on Active Drift Correction

Abstract

For the traditional problems of template drift and the low efficiency of algorithms in video image target tracking applications. A new template tracking algorithms based on active drift correction is proposed. The algorithm incorporates a drift correction term and a target tracking term. By adding a drift correction term into the traditional affine image alignment algorithms and update the template while tracking, it has solved the template drift problem and reduced the cumulative error in tracking. The results show that the new algorithm has higher operation efficiency and better robustness.

Keywords:
Robustness (evolution) Tracking (education) Computer science Affine transformation Algorithm Term (time) Computer vision Artificial intelligence Tracking system Kalman filter Mathematics

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
10
Refs
0.15
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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