相关实验视频

Updated: May 20, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

使用低分辨率红外传感器进行跨域人类活动识别

Guillermo Diaz¹, Bo Tan², Iker Sobron³

¹Department of Communications Engineering, University of the Basque Country, 48013 Bilbao, Spain.

Sensors (Basel, Switzerland)

|October 16, 2024

概括

这项研究表明,一个新的网络可以通过低分辨率的红外传感器识别人类活动. 原型反复卷积网络 (PRCN) 即使使用多种训练数据进行跨域识别,也能很好地工作.

科学领域:

计算机视觉计算机视觉
机器学习机器学习
人类活动识别人类活动识别

背景情况:

低分辨率的红外传感器是室内监控的成本效益.
在不同数据集 (跨域) 中识别人类活动仍然具有挑战性.
短暂的学习为有限的培训数据提供了解决方案.

研究的目的:

研究使用低分辨率红外传感器进行跨领域人类活动识别的可行性.
为了评估一个新型的原型循环卷积网络 (PRCN) 用几次拍摄的学习策略.
评估模型在真实世界室内活动数据集上的表现.

主要方法:

开发了一种新的原型反复卷积网络 (PRCN).
为了进行分类,采用了短暂的学习策略.
在两个独立的室内人类活动数据集上测试了PRCN.
三个不同的网络被比较为特征提取器.
在数据集之间进行了跨领域评估.

主要成果:

该PRCN在跨领域的人类活动识别方面表现出有效性.
尽管培训数据多样性存在差异,但该模型取得了良好的表现.
选择的特征提取器影响了整体网络性能.
这种方法可用于分类多达11种日常活动.

结论:

拟议的PRCN具有少数镜头学习,是从低分辨率红外数据进行跨域活动识别的可行解决方案.
该模型对训练数据多样性的稳定性凸显了其在现实室内环境中的实际应用性.
这项研究有助于在低成本,智能监控系统的进步.

关键词:

跨领域的跨领域.几次射击的学习学习人类活动的认可人类活动的认可长期短期记忆网络长期短期记忆网络低分辨率的红外线.原型网络网络原型经常性的卷积网络.

更多相关视频

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

相关概念视频

Infrared (IR) Spectroscopy: Overview

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...