智能监控系统中自适应抗遮挡目标跟踪Adaptive anti-occlusion moving target tracking of intelligent video surveillance system
张颖,李孟歆,英宇
摘要(Abstract):
智能视频监控系统中的目标跟踪问题存在许多干扰因素,其中运动目标运动时的动态干扰及大面积遮挡问题是影响跟踪失败的最主要的原因。此外,光照和颜色近似干扰问题也是影响跟踪准确度的主要因素。为了达到运动目标的抗干扰及准确跟踪,在Meanshift算法完成目标准确跟踪的基础上,提出一种基于双重判别的自适应跟踪算法,将Meanshift算法与Kalman滤波算法相结合,在出现长时间大面积遮挡及动态背景干扰、光照,颜色近似干扰的情况下,完成目标的准确跟踪。实验结果表明,提出的方法有较好的稳定性和准确性。
关键词(KeyWords): 目标跟踪;Meanshift算法;Bhattacharrya系数;Kalman滤波;双重判别;抗遮挡
基金项目(Foundation): 住宅与城乡建设部项目(2015-K8-011);; 辽宁省教育厅项目(L2013225)~~
作者(Author): 张颖,李孟歆,英宇
DOI: 10.16652/j.issn.1004-373x.2018.17.013
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