无人机深度学习人体姿态估计的性能基准

IF 2.4 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Machine Vision and Applications Pub Date : 2023-09-07 DOI:10.1007/s00138-023-01448-5

T. Kalampokas, S. Krinidis, V. Chatzis, G. Papakostas

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Performance benchmark of deep learning human pose estimation for UAVs

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Performance benchmark of deep learning human pose estimation for UAVs

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来源期刊

Machine Vision and Applications 工程技术-工程：电子与电气

CiteScore

6.30

自引率

3.00%

发文量

审稿时长

8.7 months

期刊介绍： Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal. Particular emphasis is placed on engineering and technology aspects of image processing and computer vision. The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.