摘要
Egocentric视频具有目标运动剧烈、遮挡频繁、目标尺度差异明显及视角时变性强的特点,给目标跟踪任务造成了极大的困难。本文从重建不同视角Egocentric视频中各目标的运动轨迹出发,提出一种基于Multi-Egocentric视频运动轨迹重建的多目标跟踪算法,该方法基于多视角同步帧之间的单应性约束解决目标遮挡和丢失问题,然后根据多视角目标空间位置约束关系通过轨迹重建进一步优化目标定位,并采用卡尔曼滤波构建目标运动模型优化目标运动轨迹,在BJMOT、EPLF-campus4数据集上的对比实验验证了本文算法在解决Multi-Egocentric视频多目标跟踪轨迹不连续问题的有效性。
In egocentric video,objects have the characteristics of violent motion,frequent occlusion,so it brings much trouble to carrying out the tracking task.In this paper,we propose a multi-object tracking algorithm based on the motion trajectory reconstruction of multi-egocentric video from different visual angles egocentric videos.First,this method is based on the homographic constraint of multi-view synch frames to fix position of occluded and missing object.Second,using the relative position constraint relation of multi-angle target,the trajectory is reconstructed to locate the target position.Meanwhile,the trajectory of the object is optimized by constructing the motion model of object.Then the continuous trajectory of the object is obtained and the problem of the discontinuity trajectory in multi-object tracking is resolved.In the end,the performance of proposed method has been verified by using the multi-view video dataset which is created by us.
作者
欧伟奇
尹辉
许宏丽
刘志浩
OU Weiqi;YIN Hui;XU Hongli;LIU Zhihao(Department of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China;Beijing Key Lab of Transportation Data Analysis and Mining,Beijing Jiaotong University,Beijing 100044,China)
出处
《智能系统学报》
CSCD
北大核心
2019年第2期246-253,共8页
CAAI Transactions on Intelligent Systems
基金
国家自然科学基金项目(61472029
61473031)
科技部国家重点研发计划项目(2017YFB1201104
2016YFB1200100)
中央高校基本科研业务费专项资金项目(2016JBZ005)
