Estimation of multiple 2-D uniform motions by SLIDE: subspace-based line detection

Estimation of multiple 2-D uniform motions by SLIDE: subspace-based line detection
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通过 SLIDE 估计多个二维匀速运动:基于子空间的线检测

DOI:
10.1109/83.753739
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发表时间:
1999
期刊:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
影响因子:
--
通讯作者:
T. Kailath
T. Kailath
中科院分区:
--
文献类型:
--
作者:
H. Aghajan;B. Khalaj;T. Kailath

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提出了一种基于长序列图像处理和多线拟合算法的场景中多个运动物体二维均匀运动参数估计方法。垂直和水平投影与帧数的关系图给出了新图像,其中均匀运动的物体由倾斜带区域表示,从垂直方向的倾斜角度是运动物体速度的度量。例如,垂直波段将对应于速度为零的物体。一种称为基于子空间的直线检测(SLIDE)的算法可以有效地确定斜角。SLIDE利用帧投影中每个运动模式的贡献之间的时间一致性来增强和区分由所需运动参数定义的信号子空间。一个类似的程序可以用来确定垂直速度。然后必须采取一些进一步的步骤来正确地将水平速度和垂直速度联系起来。
A technique is proposed for estimating the parameters of two-dimensional (2-D) uniform motion of multiple moving objects in a scene, based on long-sequence image processing and the application of a multiline fitting algorithm. Plots of the vertical and horizontal projections versus frame number give new images in which uniformly moving objects are represented by skewed band regions, with the angles of the skew from the vertical being a measure of the velocities of the moving objects. For example, vertical bands will correspond to objects with zero velocity. An algorithm called subspace-based line detection (SLIDE) can be used to efficiently determine the skew angles. SLIDE exploits the temporal coherence between the contributions of each of the moving patterns in the frame projections to enhance and distinguish a signal subspace that is defined by the desired motion parameters. A similar procedure can be used to determine the vertical velocities. Some further steps must then be taken to properly associate the horizontal and vertical velocities.
DOI: 10.1109/29.32276
发表时间: 1989-07-01
期刊: IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子: --
作者:
ROY, R;KAILATH, T
通讯作者: KAILATH, T