基于多标记图分割的遮挡下多目标分割及跟踪算法  

A Multi-label Graph Cut-based Algorithm for Multi-object Segmentation and Tracking under Occlusion

作　　者：周桢[1] 

机构地区：[1]中国空空导弹研究院,洛阳471009

出　　处：《科学技术与工程》2015年第10期102-105,115,共5页Science Technology and Engineering

摘　　要：针对遮挡下的多目标分割及跟踪问题,提出一种新的方法,其将空间-彩色混合高斯模型融入到能量函数最小化框架中。当遮挡没有发生时,为每个目标分别构建一个空间-彩色混合高斯形状描述。一旦多目标相互遮挡发生,一个多标记能量函数将在相互遮挡区域建立起来,而后利用多标记图分割技术将其最小化,从而实现对遮挡过程中所有目标进行同时标记和定位。此外,利用多个视频序列证实了所提出算法的性能。A new method is proposed for segmenting and tracking multiple objects through occlusion by integrating spatial-color Gaussian mixture model （SCGMM） into an energy function minimization framework.When occlusion does not occur,a SCGMM is learned for each object.When the objects are subject to occlusion,a multi-label energy function is formulated building on the learned SCGMMs,and then ninimized using the multi-label graph cut algorithm,thus leading to both the segmentation and tracking results of the objects with occlusion.Experimental validation of the proposed method is performed and presented on several video sequences.

关 键 词：多目标跟踪 多目标分割 多标记图分割 遮挡 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]