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出 处:《科技通报》2015年第8期111-113,共3页Bulletin of Science and Technology
摘 要:为有效对运动图像的目标特征进行较好定位与跟踪,提出了一种基于多权值相似均衡的运动图像循环定位跟踪算法。该算法首先利用颜色与纹理构建运动图像的空间特征分布跟踪模型,通过特征聚类对运动图像自动划分目标空间,然后根据目标模型的相似函数计算多个特征权值对目标模型进行选择性均衡,并结合特征权值自适应迭代定位跟踪信息,以最大程度地对运动图像的细节特征进行定位跟踪。实验结果表明,该算法优于传统的定位跟踪方法,尤其在跟踪目标受到外界干扰时能够得到比较理想的跟踪效果。In order to better location and tracking for moving image target characteristic, a location tracking algorithm for moving target image based on multi-weighted tterative is proposed. The algorithm firstly according to the spatial characteristics of color and texture to construct the motion image distribution tracking model, through the feature clustering on a moving image automatic segmentation of target space, and then a plurality of feature weights on the target model of selective equilibrium calculation according to the similarity function model of the target, and make use of the characteristic of adaptive weight iterative location tracking information, to the greatest extent of the moving image the details of the characteristics of the positioning and tracking. The experimental results show that, the positioning of the algorithm is superior to the traditional tracking methods, especially in the tracking target by the outside interference can get relatively ideal tracking effect.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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