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Improvement of the KCF tracking algorithm through object detection
- Issue Date
- Dec-2017
- Publisher
- Science Publishing Corporation Inc
- Keywords
- Color space; Detection; Histogram; KCF algorithm; Tracking
- Citation
- International Journal of Engineering and Technology(UAE), v.7, no.4, pp 11 - 12
- Pages
- 2
- Indexed
- SCOPUS
- Volume
- 7
- Number
- 4
- Start Page
- 11
- End Page
- 12
- ISSN
- 2227-524X
2227-524X
- Abstract
- When the position of the beam projector is changed, users have to manually adjust the position. In this paper, we propose a system that can automatically correct images. In this process, the KCF (Kernelized Correlation Filter) algorithm is used for tracking the IR (Infrared) markers. We analyze the object tracking failure problem of the KCF and improve the KCF tracking algorithm that solves the problem through object detection.
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Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
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