Autonomous Tracking by an Adaptable Scaled KCF Algorithm
نویسندگان
چکیده
A multicopter is equipped by a passive tracking device to follow specified target. However, if want track non-controlled target, the failed. We propose vision-based system for multicopters, used computer vision method any target without additional devices. In this study, scale candidate graphs and tables improve KCF. There are also stable results when changes. The proposed an adaptable scaled KCF algorithm, failed, feature-based matching detector re-detect Several experiments on various scene based approach were conducted evaluated. Stable obtain show feasibility of system.
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ژورنال
عنوان ژورنال: International Journal of Machine Learning and Computing
سال: 2021
ISSN: ['2010-3700']
DOI: https://doi.org/10.18178/ijmlc.2021.11.1.1013