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   space-time relativity 在 自动化技术 分类中 的翻译结果: 查询用时:0.064秒
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space-time relativity
相关语句
  时空相关性
    In order to realize intellectuality of video monitoring, we finally discuss a kind of motion detection algorithm on the basis of video array space-time relativity in the article.
    为了实现视频监控的智能化,文中最后探讨了一种基于视频序列象素时空相关性检测的运动目标检测算法。
短句来源
    The deficiency of the actual algorithm in the complex background is analyzed. A method of moving object detection based on the detection of the space-time relativity of the pels in a video sequence is used in the military video monitor.
    在充分分析了现有算法在复杂背景下所存在的不足的基础上 ,提出了一种适用于军用视频监控系统的基于视频序列象素时空相关性检测的运动目标检测方法。
短句来源
    The deficiencies of the actual algorithm in the complex background are analyzed, and a method of moving object detection is given based on the detection of the space-time relativity of the pels in a video sequence which is used in the military video monitoring.
    在分析了现有算法在复杂背景下所存在的不足的基础上,提出了一种适用于视频监控系统的基于视频序列像素时空相关性检测的动目标检测方法.
短句来源
    To eliminate interference brought by field environment,a multilevel difference method based on detection of space-time relativity was proposed.
    为排除野外环境的各种干扰,提出了依据时空相关性检测的帧间多级差分方法,为解决烟尘快速飘移对后续弹点探测的影响,给出了一种伪目标边缘跟踪算法。
短句来源
  “space-time relativity”译为未确定词的双语例句
    Furthermore, based on collision space-time relativity, next collided octants are closer to that of last iteration.
    除此之外,基于碰撞的时间和空间的相关性原理,下一个循环时发生干涉的节点通常在上一次干涉的节点附近。
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  space-time relativity
A principle of relativity is formulated that contains space-time relativity as a special case.
      


The deficiency of the actual algorithm in the complex background is analyzed. A method of moving object detection based on the detection of the space-time relativity of the pels in a video sequence is used in the military video monitor. The space relativity of objects in a frame is used to detect the object firstly. Then the authenticity of the object is proved with the time relativity of the object in a video sequence. So it's found out whether the moving objects exist. It's verified by the...

The deficiency of the actual algorithm in the complex background is analyzed. A method of moving object detection based on the detection of the space-time relativity of the pels in a video sequence is used in the military video monitor. The space relativity of objects in a frame is used to detect the object firstly. Then the authenticity of the object is proved with the time relativity of the object in a video sequence. So it's found out whether the moving objects exist. It's verified by the working of the monitor that the system can detect the moving object from a video sequence well, and has a good anti-jamming ability.

在充分分析了现有算法在复杂背景下所存在的不足的基础上 ,提出了一种适用于军用视频监控系统的基于视频序列象素时空相关性检测的运动目标检测方法。该方法首先用每一帧中目标的空间相关性检测出目标 ;再用序列图像中目标的时间相关性检验目标的真实性 ,从而最终确定是否有运动目标。实际应用表明 ,采用该算法的系统能很好地检测出运动目标 ,并具有较强的抗干扰能力。

The deficiencies of the actual algorithm in the complex background are analyzed, and a method of moving object detection is given based on the detection of the space-time relativity of the pels in a video sequence which is used in the military video monitoring. By this method, the space (relativity of) the pels in a frame is used to detect the object firstly, and then the authenticity of the object is proved with the time relativity of the object in a video sequence, thus it can be found out...

The deficiencies of the actual algorithm in the complex background are analyzed, and a method of moving object detection is given based on the detection of the space-time relativity of the pels in a video sequence which is used in the military video monitoring. By this method, the space (relativity of) the pels in a frame is used to detect the object firstly, and then the authenticity of the object is proved with the time relativity of the object in a video sequence, thus it can be found out whe-(ther ) the moving objects exist or not. It′s verified by the experimentation that the method can be used to detect the moving object from a video sequence well, and has a good anti-jamming ability.

在分析了现有算法在复杂背景下所存在的不足的基础上,提出了一种适用于视频监控系统的基于视频序列像素时空相关性检测的动目标检测方法.该方法首先用每一帧中像素的空间相关性检测出目标,再用序列图像中目标的时间相关性检验目标的真实性,从而最终确定是否有运动目标.试验表明,该方法能很好地检测出运动目标,并具有较强的抗干扰能力.

Based on the binocular stereo vision theory,the smoke images were caught and processed to get the bomb position information.A practical vision measuring model was given which model adapts to field environment.And a high speed camera calibration method was proposed which just calibrate two key camera parameters: the focal length and the horizontal angle of the optical axis.A real-time image processing method based on frame difference was used to process the images in system.A Gaussian background model based on...

Based on the binocular stereo vision theory,the smoke images were caught and processed to get the bomb position information.A practical vision measuring model was given which model adapts to field environment.And a high speed camera calibration method was proposed which just calibrate two key camera parameters: the focal length and the horizontal angle of the optical axis.A real-time image processing method based on frame difference was used to process the images in system.A Gaussian background model based on background subtracting method was presented to get the segmentation threshold.To eliminate interference brought by field environment,a multilevel difference method based on detection of space-time relativity was proposed.To avoid the effect caused by the quickly moving dust,a false object boundary tracking method was presented.The model is accurate to 2 meter when scoring within a 200 meter radius of the impact zone.

系统采用双目立体视觉原理,通过捕捉、处理弹落击起的烟尘图像精确地获取弹着点信息。给出了一种适于野外环境构建的视觉测量模型,并提出了一种仅对焦距及光轴水平偏角进行现场标定的相机参数快速获取方法。采用序列图像实时帧间差分阈值法作为主要的图像处理手段,通过构造高斯背景统计模型获得精确的分割阈值。为排除野外环境的各种干扰,提出了依据时空相关性检测的帧间多级差分方法,为解决烟尘快速飘移对后续弹点探测的影响,给出了一种伪目标边缘跟踪算法。远程视觉传感器距靶心1.2 km对!400 m靶区实测时,图像处理时间小于8 ms,系统响应时间小于75 ms,报靶精度优于2 m,完全满足实时准确报靶的要求。

 
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