JOURNAL ARTICLE

Robust tracking method with drift correction

Abstract

A new method is proposed to address the problem of template drift, a common phenomenon in which the target gradually shifts away from the template in object tracking. This paper integrates drift monitoring and drift correction with template matching. During the tracking based on template matching, drift is corrected once it is detected. The robustness and practicality of the method have been proven by experimental results.

Keywords:
Robustness (evolution) Computer science Tracking (education) Template matching Artificial intelligence Computer vision Concept drift Matching (statistics) Video tracking Object (grammar) Algorithm Data mining Mathematics Image (mathematics) Statistics

Metrics

3
Cited By
0.32
FWCI (Field Weighted Citation Impact)
10
Refs
0.56
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 Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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