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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

404
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.
Here, in order to determine the magnitude of velocity and acceleration for point...
404
Vector Transformation in Rotating Coordinate Systems01:16

Vector Transformation in Rotating Coordinate Systems

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Consider a vector rotating about an axis with an angular velocity, such that its tip sweeps a circular path.
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Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.4K
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.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
461
Kinematic Equations - II01:17

Kinematic Equations - II

9.5K
The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
9.5K
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

38
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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相关实验视频

Updated: Jul 3, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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交叉视频行人跟踪算法与一个坐标约束.

Cheng Huang1,2, Weihong Li1,2,3, Guang Yang1,2,3

  • 1School of Geography, South China Normal University, Guangzhou 510631, China.

Sensors (Basel, Switzerland)
|February 10, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的交叉视频行人跟踪方法,使用空间信息来提高准确性和稳定性. 改进的算法可以提高成功匹配的行人和监控系统中的连续跟踪.

关键词:
坐标特征是指一个坐标特征.交叉视频交叉视频的使用覆盖的视图可以重叠.步行者跟踪系统可以跟踪行人.

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相关实验视频

Last Updated: Jul 3, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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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
  • 监控技术 监控技术 监控技术

背景情况:

  • 监控视频中的行人跟踪对于人员管理至关重要,但仅限于单一的视频覆盖.
  • 目前的交叉视频跟踪方法经常由于依赖外观特征而失败,导致准确性和稳定性较低.

研究的目的:

  • 开发一个改进的交叉视频行人跟踪算法.
  • 在多个监控视频中提高连续行人跟踪的准确性和稳定性.

主要方法:

  • 拟议的算法整合了空间信息,包括来自不同视频的行人坐标特征.
  • 使用线性权重策略,专注于跟踪过程中的重叠视图.

主要成果:

  • 与传统方法相比,新方法显著提高了目标行人匹配的成功率.
  • 在连续的行人跟踪中实现了更高的稳定性,优于现有的技术.

结论:

  • 开发的算法为准确和强大的跨视频行人跟踪提供了可行的解决方案.
  • 这项研究为视频监控中的行人跟踪和人群管理应用提供了宝贵的参考.