共查询到19条相似文献,搜索用时 156 毫秒
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多视频对象由于其运动的复杂性,在分割提取过程中有较大的难度.本文提出了一种基于时空曲线演化的多视频对象自动分割方法,首先根据视频序列帧间(时间域)和帧内(空间域)信息的不同特点,建立基于全局和局部特征的能量模型,并由此导出基于level sets方法的曲线演化方程;然后用视频序列的连继两帧帧差得到初始的视频对象,分别进行时间和空间曲线演化跟踪,提取多个视频对象;当对象因运动而发生相互遮挡现象时,利用基于Bayes最小错误概率决策法则的判断方法,分割遮挡对象和显露对象.实验结果表明,本文提出算法的分割效果在空间准确度上比COST211算法提高30-50%,比最佳的帧差分割算法提高5-10%. 相似文献
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视频对象的分割是基于内容的视频处理的重要组成部分。提出并实现了一种基于水平集的运动视频对象分割算法。算法通过视频帧间的亮度差值提取初始轮廓曲线,将该曲线作为水平集算法的初始零水平集,采用窄带水平集方法演化曲线。得到最终的分割结果。实验表明该算法简单高效,具有很好的分割效果。 相似文献
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为提高视频运动物体提取的准确性,提出了一种新的基于运动矢量信息的视频运动物体提取方法.将与运动矢量信息相关的分割因子用于运动物体提取的判据,然后通过对每帧图像构建分割因子矩阵,对每一帧分割因子矩阵进行二维熵门限判决,实现对视频序列中的运动物体的提取.研究结果表明该算法对于全局运动比较稳定且运动物体的速度较慢的序列具有较好的提取效果,提取成功率达90%以上. 相似文献
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基于多帧边缘差异的视频运动对象的分割与跟踪算法 总被引:2,自引:0,他引:2
从视频场景中分割和跟踪感兴趣的视频对象对于MPEG-4等基于对象的视频编码来说是关键性的技术之一。针对目前大部分视频对象分割和追踪算法相当复杂但仍不能有效地去除背景噪声的问题,该文提出用于分割和跟踪视频运动对象的一种基于多帧边缘差异的算法。该算法利用一组帧的边缘差异来提取运动对象区域,通过聚类方法去除背景像素点,利用形态学算子得到对象分割模板,同时通过建立前帧感兴趣对象与当前帧运动对象的帧间向量跟踪当前帧的感兴趣视频对象。不同标准视频测试序列的测试结果表明,该算法能够实现对感兴趣的视频运动对象更为精确、快速和有效地分割和跟踪。 相似文献
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运动视频对象的时空联合检测技术 总被引:1,自引:0,他引:1
提出了一种具有全局运动的视频运动对象时空联合检测算法。针对传统时间分割使用主观固定阈值的缺点,采用了对差分图像进行噪声参数自适应学习的算法获取自动阈值,并利用形态学运算获取修正的时间分割模板;考虑传统分水岭空间分割的不足,提出了基于人眼视觉特征的改进分水岭算法,包括基于形态重建滤波的图像降噪、形态梯度变换以及基于韦伯感知原理的视同灰度非线性变换,有效地解决了过分割问题;对时、空间分割结果进行信息融合处理,从而得到完整的运动对象。仿真实验结果表明,本文算法可以快速准确地分割视频运动对象。 相似文献
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运动目标的自动分割与跟踪 总被引:6,自引:0,他引:6
该文提出了一种对视频序列中的运动目标进行自动分割的算法。该算法分析图像在L U V空间中的局部变化,同时使用运动信息来把目标从背景中分离出来。首先根据图像的局部变化,使用基于图论的方法把图像分割成不同的区域。然后,通过度量合成的全局运动与估计的局部运动之间的偏差来检测出运动的区域,运动的区域通过基于区域的仿射运动模型来跟踪到下一帧。为了提高提取的目标的时空连续性,使用Hausdorff跟踪器对目标的二值模型进行跟踪。对一些典型的MPEG-4测试序列所进行的评估显示了该算法的优良性能。 相似文献
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为了能够从药液视频序列图像中准确地提取出运动异物对象,提出一种基于帧差图时空运动信息的药液异物模糊自适应阈值分割算法。首先通过4帧序列图像的隔帧差分得到2幅差分图并分别划分为5×5的图像块;然后计算对应图像分块的4阶矩以实现异物的运动信息提取;最后采用自适应阈值依据帧差图对应图像块的4阶矩之差实现运动异物的分割,并经过形态学处理去除掉噪声和空洞。为使阈值能够跟随图像块灰度变化,阈值的调整采用模糊推理依据对应块灰度均值差和方差变化自适应实现。实验及实际测试结果表明,本文所提算法较好地满足了低对比度和局部光照变化的药液异物实时检测要求,是一种实用有效的图像分割方法。 相似文献
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Video object segmentation is an important pre-processing task for many video analysis systems. To achieve the requirement
of real-time video analysis, hardware acceleration is required. In this paper, after analyzing existing video object segmentation
algorithms, it is found that most of the core operations can be implemented with simple morphology operations. Therefore,
with the concepts of morphological image processing element array and stream processing, a reconfigurable morphological image
processing accelerator is proposed, where by the proposed instruction set, the operation of each processing element can be
controlled, and the interconnection between processing elements can also be reconfigured. Simulation results show that most
of the core operations of video object segmentation can be supported by the accelerator by only changing the instructions.
A prototype chip is designed to support real-time change-detection-and-background-registration based video object segmentation
algorithm. This chip incorporates eight macro processing elements and can support a processing capacity of 6,200 9-bit morphological
operations per second on a SIF image. Furthermore, with the proposed tiling and pipelined-parallel techniques, a real-time
watershed transform can be achieved using 32 macro processing elements. 相似文献
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真三维活动视频数据的优化研究 总被引:1,自引:0,他引:1
提出了一种基于点阵的真三维视频显示技术,该系统利用LED为单元节点组成三维空间阵列,用于显示真三维活动影像。由于数据量巨大,为了加快处理速度,利用CUDA编程模型对计算过程进行优化,把处理过程中可以并行计算的部分交由GPU执行。先把要处理的视频数据传到内存中,由CPU进行一些预处理,然后传到显存,由GPU对视频运动过程等进行处理,处理完后再传到内存,由CPU进行一些后续处理,最终把处理后的数据传出加以显示或存储。通过比较仅由CPU处理与用GPU优化后的计算时间,发现优化后计算速度比优化前快了几十到几百倍,而且数据量越大,优化效果越好,核心多的GPU所得到的加速比大,最后在实验部分给出了用OpenGL仿真的结果。 相似文献
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《Signal Processing: Image Communication》2001,16(6):553-566
In this paper, a novel hierarchical object-oriented video segmentation and representation algorithm is proposed. The local variance contrast and the frame difference contrast are jointly exploited for structural spatiotemporal video segmentation because these two visual features can indicate the spatial homogeneity of the grey levels and the temporal coherence of the motion fields efficiently, where the two-dimensional (2D) spatiotemporal entropic technique is further selected for generating the 2D thresholding vectors adaptively according to the variations of the video components. After the region growing and edge simplification procedures, the accurate boundaries among the different video components are further exploited by an intra-block edge extraction procedure. Moreover, the relationships of the video components among frames are exploited by a temporal tracking procedure. This proposed object-oriented spatiotemporal video segmentation algorithm may be useful for MPEG-4 system generating the video object plane (VOP) automatically. 相似文献
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基于改进分水岭算法的立体视频对象分割 总被引:1,自引:0,他引:1
提出了一种结合视差和边缘信息进行立体视频对象的分割方法。针对传统分水岭算法过分割的问题,提出了改进的算法。采用基于自适应权值的立体匹配方法获得可靠的视差图,并利用改进分水岭算法进行视差图分割,获得初始的视频对象区域,随后对初始视频对象进行边缘检测,通过提取其轮廓获得准确的对象,最后提出基于区域的对象跟踪方法,完成后续帧视频对象的分割。实验结果表明,本文提出的方法可以获得良好的分割结果。 相似文献
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Hierarchical morphological segmentation for image sequence coding 总被引:33,自引:0,他引:33
This paper deals with a hierarchical morphological segmentation algorithm for image sequence coding. Mathematical morphology is very attractive for this purpose because it efficiently deals with geometrical features such as size, shape, contrast, or connectivity that can be considered as segmentation-oriented features. The algorithm follows a top-down procedure. It first takes into account the global information and produces a coarse segmentation, that is, with a small number of regions. Then, the segmentation quality is improved by introducing regions corresponding to more local information. The algorithm, considering sequences as being functions on a 3-D space, directly segments 3-D regions. A 3-D approach is used to get a segmentation that is stable in time and to directly solve the region correspondence problem. Each segmentation stage relies on four basic steps: simplification, marker extraction, decision, and quality estimation. The simplification removes information from the sequence to make it easier to segment. Morphological filters based on partial reconstruction are proven to be very efficient for this purpose, especially in the case of sequences. The marker extraction identifies the presence of homogeneous 3-D regions. It is based on constrained flat region labeling and morphological contrast extraction. The goal of the decision is to precisely locate the contours of regions detected by the marker extraction. This decision is performed by a modified watershed algorithm. Finally, the quality estimation concentrates on the coding residue, all the information about the 3-D regions that have not been properly segmented and therefore coded. The procedure allows the introduction of the texture and contour coding schemes within the segmentation algorithm. The coding residue is transmitted to the next segmentation stage to improve the segmentation and coding quality. Finally, segmentation and coding examples are presented to show the validity and interest of the coding approach. 相似文献