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相关概念视频

Vision01:24

Vision

60.0K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
60.0K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

1.9K
Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
1.9K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.0K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.0K
Gene-Environment Interactions01:20

Gene-Environment Interactions

1.2K
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.2K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

7.7K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
7.7K

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相关实验视频

Updated: Jan 28, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

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基于视觉的人计数和追踪城市环境.

Daniyar Nurseitov1, Kairat Bostanbekov1, Nazgul Toiganbayeva2

  • 1KazMunayGas Engineering LLP, Astana 010000, Kazakhstan.

Journal of imaging
|January 27, 2026
PubMed
概括

本研究介绍了使用计算机视觉和深度学习的智能客运监控系统. 开发的YOLO + 追踪架构准确地检测和计算密集的城市环境中的人员,提高运输效率.

关键词:
计算机视觉 计算机视觉深度摄像机的深度摄像机多传感器融合融合技术对象跟踪是指对象的跟踪.人们在计数,人们在计数.公共交通监控监控公共交通实时处理实时处理.智能移动是智能移动的一种方式.

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Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

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Tracking Microbial Contamination in Retail Environments Using Fluorescent Powder - A Retail Delicatessen Environment Example
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Tracking Microbial Contamination in Retail Environments Using Fluorescent Powder - A Retail Delicatessen Environment Example

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相关实验视频

Last Updated: Jan 28, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

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Tracking Microbial Contamination in Retail Environments Using Fluorescent Powder - A Retail Delicatessen Environment Example
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科学领域:

  • 计算机视觉 计算机视觉
  • 深度学习 (Deep Learning) 是一种深度学习.
  • 人工智能的人工智能

背景情况:

  • 城市人口增长需要智能客运监控.
  • 准确的乘客计数对于运输效率,安全和质量至关重要.

研究的目的:

  • 开发一种使用计算机视觉和深度学习的自动人员检测和计数系统.
  • 建议修改DeepSORT跟踪管道,优化密集,封闭和动态照明的乘客环境.
  • 创建一个统一的架构,集成检测,跟踪和事件日志生成.

主要方法:

  • 使用YOLOv8进行对象检测和修改的DeepSORT进行跟踪.
  • 开发了一个拥有4047张图像和8918个标记对象的专有数据集.
  • 集成检测,跟踪和自动事件日志生成在一个单一的架构中.

主要成果:

  • 在专有数据集上实现了92%的检测准确度和85%的计数准确度.
  • 与Mask R-CNN和DETR相比,YOLOv8显示出速度,准确性和计算效率的优越平衡.
  • 开发的YOLO + 追踪系统有效地结合了识别,跟踪和计数.

结论:

  • 计算机视觉为传统乘客计数系统提供了一种高效且可扩展的替代方案.
  • 拟议的系统自动生成注释的视频流和事件日志.
  • 未来的工作包括数据集扩展,多摄像头集成和对嵌入式设备的适应.