基于信息融合的视频序列图像中运动目标分割的研究
Studies on Moving Object Segmentation Based on Information Fusion in Video Sequences
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摘要: 该文提出一种基于信息融合的方法分割视频序列图像运动目标。在彩色图像分割中,将部分空间信息介入到迭代均值偏移过程,实现无参数聚类。然后利用所提出的求等同标志连通区域的方法,将聚类后的图像划分成不同的独立区域;再利用HOS(高阶统计)方法进行运动检测,经后处理,得到运动目标粗模板。统计这个运动粗模板中等同颜色区域占原图像相应独立区域的比重,比重超过预置阈值的,则将该独立区域作为待融合区域。最后,将所有的待融合区域连接起来,就构成了运动目标模板。Abstract: A method extracting moving object is proposed by utilizing the information fusion. Color image segmentation primarily uses a non-parametric clustering method based on partial space information intervening iterative mean shift procedure. A way of finding connected areas with identical marks is introduced to divide the image into different independent areas. HOS(Higher-Order Statistics) is used for motion detection. Then through post-processing, A rough motion template can be got. In such a template, the ratio of regions with identical marks to the corresponding independent region in the original image can be computed. If the ratio is larger than a predetermined threshold, the corresponding independent region will be fused. Finally, the moving object can be extracted by fusing all the predetermined regions to be fused.
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