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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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相关实验视频

Updated: Jan 12, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

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基于改进的YOLOv5s和DeepSORT的道路行人检测和跟踪算法.

Guofeng Qin1,2, Rongting Pan3,2, Yi Deng4

  • 1Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, China.

PloS one
|November 4, 2025
PubMed
概括

这项研究引入了一种改进的行人检测和跟踪算法,使用增强的YOLOv5s和DeepSORT. 新方法显著提高了准确性和跟踪稳定性,特别是在密集交通场景中的小型物体.

相关实验视频

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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 步行者检测和跟踪面临的挑战是精度低,错误率高,在道路上密集,封闭和小物体场景中稳定性差.
  • 现有的算法在这些困难条件下难以保持性能,需要改进的方法.

研究的目的:

  • 开发一个强大的行人检测和跟踪算法,克服精度的局限性,错误检测和跟踪稳定性.
  • 为了提高性能,特别是在交通环境中用于密集的遮蔽和小物体检测.

主要方法:

  • 改进了YOLOv5s检测网络,包括焦点-EIoU损失,小物体 (SO) 检测层和多头自我注意 (MHSA) 机制.
  • 增强的DeepSORT跟踪框架与轻量级的ShuffleNetV2网络用于外观特征提取.
  • 集成改进的YOLOv5s与修改的DeepSORT进行全面的行人跟踪.

主要成果:

  • 改进的YOLOv5s实现了80.8%的mAP0.5和49.7%的mAP0.5:0.95,超过了原始YOLOv5s的4.4%和3.9%.
  • 增强的YOLOv5s-DeepSORT实现了50.7%的MOTA和77.3%的MOTP,身份交换机减少了11.3%.
  • 模型尺寸缩小至原始的20%,增强可移植性而不会影响准确性.

结论:

  • 提议改进的YOLOv5s-DeepSORT算法在行人检测和跟踪方面提供了卓越的性能,特别是在挑战密集和小物体场景时.
  • 该方法在准确性,跟踪稳定性和效率方面取得了显著的改进,使其适用于现实世界的交通应用.
  • 增强的算法是强大的,能够有效地跟踪不同大小的目标,解决以前方法的关键局限性.