基于三维分层图模型的复杂情况下多运动目标跟踪
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(1.湖南工程学院 电气信息学院,湖南 湘潭 411104; 2.湖南大学 电气与信息工程学 院,湖南 长沙 410082)

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万琴(1980-),女,重庆万州人,博士,副教授,研究领域 为视频多目标检测跟踪、模式识别与智能系统.

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国家自然科学基金项目(61841103,5,51502087) 、湖南省自然科学基金项目(2016JJ2041) 、湖南省教育厅资助科研项目(15B056) 、湖南省研究生科技创新重点项目(CX2018B805)和湖南省研究生科技创新一般项目(CX2018B813) (1.湖南工程学院 电气信息学院,湖南 湘潭 411104; 2.湖南大学 电气与信息工程学 院,湖南 长沙 410082)


Tracking method of multiple moving objects under complex scenes based o n three-dimensional layered graph model
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(1.College of Electrical & Information Engineering,Hunan Institute of En gineering,Xiangtan 411104,China; 2.College of Electric and Information Engineerin g,Hunan University,Changsha 410082,China)

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    摘要:

    复杂情况下的多运动目标跟踪是视频监控中的关 键问题,在多目标运动中相互遮挡时二维视觉信息容易丢失而造 成无法准确跟踪识别目标。本文采用kinect摄像机获取三维视觉信息,从节点、边、空间结 构三个层次上建立目标的三维分 层图模型表征目标的三维特征,并在每层进行通过视频帧间的匹配从而获得三维分层图模型 匹配结果,并根据匹配结果先初 步分析目标跟踪情况,如发生遮挡则通过遮挡区域聚类块与三维分层图模型中各特征匹配确 定其匹配结果,从而得到多运动 目标在复杂运动情况中的跟踪结果。实验表明,在实验室kinect拍摄的视频序列上当目标出 现遮挡等复杂情况,也能取得较 好的跟踪结果,在实验视频中比经典方法的跟踪总体性能指标改善约3%,说明本方法能较好 地实现复杂情况下的多运动目标跟踪。

    Abstract:

    Tracking multiple moving objects under complex scenes is the key problem in v isual surveillant system.When objects are occluded,two-dimensional infor mation of objects can be lost easily,which will make the system can′t track and recognize objects.In this paper,the three-dimensi onal visual information is proposed by Kinect camera,which is used for building three-dimensional layered graph mo del form three different fields containing vertex,edge and spatial structure.The features of vertex,edge and spatial structure of three-dimensional layered graph model are matched between two consecutive frame s separately,and the three-dimensional layered graph model are also matched by these vertex,edge an d spatial structures.Then,the matching method is computed between consecutive frames by the three-dimensional layered models of different objects to track objects.When the objects are occluded,the clusters of the occ lusion region are matched with the features of three-dimensional layered graph model to get the matching results, then the tracking results are determined even under occlusions.The experimental results show that the performa nce of proposed method is better than traditional method on the image sequences using Kinect camera even u nder occlusions,and the tracking performance rates are improved by 3%,which in dicates that our method can track the multiple object better even under complex scenes.

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万琴,朱晓林,肖岳平,吴迪,余洪山,李亚.基于三维分层图模型的复杂情况下多运动目标跟踪[J].光电子激光,2019,30(5):522~528

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  • 收稿日期:2018-09-27
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  • 在线发布日期: 2019-06-28
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