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- global motion segmentation 全局运动分割
- This paper uses an algorithm of motion segmentation combined motion estimation with Markov Random Field(MRF). 采用一种将运动估计方法与马尔可夫随机场(MRF)模型相结合的运动分割方法。
- Two algorithms,graph cut and random walk based on graph theory,were applied to motion segmentation. 将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
- The hierarchically structured motion segmentation methods based on mapping parametric models are introduced. 运动分割是目前视频处理中的关键问题。
- It will provide a way to study the injury mechanism of thoracolumbar motion segment. 为探讨胸腰段的损伤机制提供参考。
- We are endeaoring to find the ultimate fusion solution and in contradiction, preent motion segment degeneration with biologics. 我们努力寻找融合的终极解决方案并以生物技术组织运动节段退变。
- Aim at video sequences with dynamic background, the CNN video motion segmentation algorithm based on optical flow field threshold is presented. 针对背景相对运动是视频序列,提出了基于光流场阈值的CNN视频分割算法。
- Global motion estimation is a powerful tool widely used in video processing and compression as well as in computer vision areas. 整体性行动估计是一个强有力的工具广泛被应用在录影处理和在电脑视觉区域的压缩。
- Key words: biomechanics, motion segment, neutral zone, pediatric, range of motion, stiffness. 要害词:生物力学,运动节段,中立区,幼年,运动范围,僵硬度
- It is put forward that new viewpoints in theories and methods of studying planetary motion, G-variate reguarlity, global shape, global motion, and so on. 从而对诸如天体运行、G变规律、地球形状与运动等方面在理论和研究方法上提出了全新的观点。
- In order to acquire video's global motion more efficient, a novel method for video's global motion estimation based on singular value decomposition (SVD) is presented. 为了能够有效快速的得到视频的全局运动,通过对视频运动估计方法的研究,提出了一种新的基于奇异值分解(SVD)的视频全局运动估计算法。
- After applying new theory of G-variate to study the regularity of global motion, various geological events taken place on the earth have been discussed in this paper. 本文应用G变新理论研究地球运动的规律,探讨地球上发生的各种地质作用。
- Methods Stress distribution of the spine in the upright, flexion and extension positions was analyzed using a three-dimensional finite element model of the spinal motion segment. 方法采用脊柱活动节段的三维有限元模型分析了脊柱在直立位、前屈位和后伸位的应力分布情况。
- Furthermore, global motion is disassembled into basis motion, and the adaptive system can choose optimal algorithm according to limitation of operation burden. 而且本算法将复杂的全域运动分解为各基本运动,使系统可以根据运算量的限制自适应地选择最优的运动估计算法。
- The reason of research on application of cellular neural networks (CNN) in video motion segmentation is the high speed concurrent operation character of CNN and the network construction which is quite fit for image processing. 研究细胞神经网络(CNN)用于视频运动对象分割的原因在于其并行高速的特点和适于图象处理的网络结构。
- Our method can get accurate motion segmentation and region classifications as a result of the advantage of the double hierarchical algorithm and fully using spatiotemporal information in the video. 我们的方法利用了多重分层叠代的优点,并且充分考虑到视频图像空间和时间上的属性,实现了运动物体和覆盖背景的精确分割,避免了遮挡问题对全局运动参数估计精度的影响。
- To reduce the computational complexity of Global Motion Estimation (GME), a fast GME method based on the principle of the symmetry elimination and difference of motion vectors is proposed. 该文针对全局运动估计计算复杂度过高的问题,提出了一种基于运动矢量对消和差分原理的快速全局运动估计方法。
- To improve the quality of motion segmentation, the background reconstruction and foreground mergence time control mechanism were incorporated into the adaptive mixture Gaussian background model. 对自适应混合高斯背景模型进行了改进,将背景重构和前景消融时间控制机制整合到传统自适应混合高斯背景模型中,以提高运动分割的质量。
- General theory of G-variate is a physical law, more accurately not only limiting in study global motion regularity, has been found and established owing to the limitation of Newtonian mechanics. 从牛顿力学的局限中发现和建立更为准确的不仅限于研究地球运动规律的物理原理,即广义G变论。
- First,the information of the foreground areas in current frame is obtained with global motion estimation and image registration between current frame and temporally adjacent frames. 首先,对待合成视频,通过全局运动估计与补偿,将相邻帧在空间上对齐到当前帧。通过计算帧差,得到当前帧中的运动前景区域信息。