概括
这项研究引入了在非视线 (NLOS) 条件下多人人类姿势传感的第一个方法,这对于反恐和救援至关重要. 该方法重建3D特征,并使用神经网络在复杂的NLOS环境中进行准确的姿势估计.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
背景情况:
- 人类姿势感知对于反恐和紧急救援至关重要.
- 现有的方法主要针对视线线 (LOS) 条件.
- 目前的非视线 (NLOS) 研究仅限于单人检测,阻碍了多人应用.
研究的目的:
- 为NLOS环境中多人姿势感应提出第一个适应性方法.
- 解决当前研究在复杂,封闭的场景中的局限性.
- 为了在危急情况下实现更有效的决策和应对.
主要方法:
- 从短暂信号中重建粗的3D特征.
- 使用神经网络来改进功能,以提高准确性.
- 预测3D身体中心热图和网状参数图.
- 由身体中心信息指导的自适应多人3D网格回归.
主要成果:
- 在多人NLOS场景中有效感知人类姿势.
- 在模拟和真实数据上都表现出了性能.
- 通过自制的NLOS系统成功获取真实世界的数据.
结论:
- 拟议的方法可以在NLOS环境中实现有效的多人姿势传感.
- 开发的模拟管道和现实世界数据集是研究界的宝贵资源.
- 该数据集的公开发布将促进NLOS人类姿势传感的进一步进展.
相关概念视频
01:24One-Degree-of-Freedom System
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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
792
01:29Relative 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.
Here, in order to determine the magnitude of velocity and acceleration for point...
Here, in order to determine the magnitude of velocity and acceleration for point...
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