Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 9, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

434

分段导向的剥离和渐变感知深度完成,用于基于LiDAR的增强人类活动识别.

Maxime Chebib, Mondher Bouazizi, Tomoaki Otsuki

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    相关概念视频

    您也可能阅读

    相关文章

    通过共同作者、期刊和引用图与本文相关的文章。

    排序
    Same author

    Non-contact Heart Rate Estimation Using VMD with Spectrogram-Based Preprocessing via CW Radar.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same author

    Stress Detection Using Eye Activity via Recurrent Neural Networks.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same author

    Deep Learning-Based Human Joint Localization Using mmWave Radar and Sequential Frame Fusion.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same author

    Beyond Contact: An Open-Set Biometric Identification System Using Radar-Extracted Heart Signals.

    IEEE journal of biomedical and health informatics·2025
    Same author

    A Novel Deep Learning Model for Human Skeleton Estimation Using FMCW Radar.

    Sensors (Basel, Switzerland)·2025
    Same author

    Deep Learning-based Open-set Person Identification using Radar Extracted Cardiac Signals.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    查看所有相关文章

    这项研究引入了一种新的方法,用于改进人类活动识别 (HAR) 的3D-LiDAR深度图像. 它使用细分和梯度引导完成来增强深度数据,而不需要地面真相LiDAR.

    科学领域:

    • 机器人和计算机视觉 机器人和计算机视觉
    • 传感器数据处理 传感器数据处理
    • 人与计算机的交互

    背景情况:

    • 3D-LiDAR传感器在人类活动识别 (HAR) 方面面临挑战,原因是隐蔽,噪音和稀疏的数据.
    • 现有的方法通常需要难以获得的地面真相LiDAR数据集,主要用于自动驾驶.
    • 需要针对HAR应用程序进行高效准确的LiDAR数据增强.

    研究的目的:

    • 开发一种新的方法来增强人类活动识别 (HAR) 的3D-LiDAR深度图像.
    • 为了应对噪音,稀疏性和隐藏在哈尔的LiDAR数据中的挑战.
    • 创建一种不依赖于地面真实性LiDAR数据集的方法.

    主要方法:

    • 基于U-Net的人类细分模型被用于删除背景噪音和无关数据.
    • 使用渐变导向深度完成算法来插入缺失的深度值,从而保持结构完整性.
    • RGB和深度数据经过校准,为细分模型创建了对齐的训练数据集.

    主要成果:

    • 细分模型实现了高准确性 (子分数:0.958在看到了,0.923在看不见的主题).
    • 拟议的方法显著提高了LiDAR深度图像质量.
    • 这种方法保持了计算效率,适合实时HAR.

    更多相关视频

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    996

    相关实验视频

    Last Updated: Jan 9, 2026

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
    08:16

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

    Published on: October 24, 2025

    434
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    996

    结论:

    • 这项工作介绍了第一个结合基于分段的无声化与基于LiDAR的HAR的渐变感知深度完成的方法.
    • 该方法有效地增强了HAR的LiDAR深度数据,而不需要地面真实性的LiDAR数据集.
    • 开发的技术为实时HAR应用提供了计算效率高的解决方案.