research-article

Vision Tracking: A Survey of the State-of-the-Art

Authors:

Atreyee Mondal,

Luminiţa Moraru, and

Aboul Ella HassanienAuthors Info & Claims

SN Computer Science, Volume 1, Issue 1

https://doi.org/10.1007/s42979-019-0059-z

Published: 11 January 2020 Publication History

Abstract

Vision tracking is a well-studied framework in vision computing. Developing a robust visual tracking system is challenging because of the sudden change in object motion, cluttered background, partial occlusion and camera motion. In this study, the state-of-the art visual tracking methods are reviewed and different categories are discussed. The overall visual tracking process is divided into four stages—object initialization, appearance modeling, motion estimation, and object localization. Each of these stages is briefly elaborated and related researches are discussed. A rapid growth of visual tracking algorithms is observed in last few decades. A comprehensive review is reported on different performance metrics to evaluate the efficiency of visual tracking algorithms which might help researchers to identify new avenues in this area. Various application areas of the visual tracking are also discussed at the end of the study.

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https://dl.acm.org/doi/10.1007/s42979-021-00879-z
Kassir MPalhang MAhmadzadeh M(2021)Two Efficient Visual Methods for Segment Self-localizationSN Computer Science10.1007/s42979-021-00492-02:2Online publication date: 7-Feb-2021
https://dl.acm.org/doi/10.1007/s42979-021-00492-0
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Jan FAhmed MMin-Allah N(2020)Databases for Iris Biometric Systems: A SurveySN Computer Science10.1007/s42979-020-00344-31:6Online publication date: 8-Oct-2020
https://dl.acm.org/doi/10.1007/s42979-020-00344-3

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