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首页> 外文期刊>Journal of visual communication & image representation >Multiple object tracking in soccer videos using topographic surface analysis
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Multiple object tracking in soccer videos using topographic surface analysis

机译：使用地形表面分析在足球视频中进行多目标跟踪

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摘要

Multiple object tracking is still a challenging problem in computer vision even though there have been several attempts lately to resolve the tracking problem in the framework of deep neural networks. In this paper, a novel method for multiple object tracking in soccer videos, which often contain complicated interactions between players with severe occlusions, is introduced. To do this, we propose to interpret the extracted foreground regions in a given frame as the topographic surface. This gives a great help to reliably chase target players by accurately providing the boundary lines of each object even with occlusions. Color similarity and spatial proximity are subsequently employed to refine the estimated position of target players for continuous tracking over whole video sequences. Experimental results on various soccer videos, which are taken of the actual games with the wide-angle camera, demonstrate that the proposed method is effective for tracking multiple players in the dynamic scene of the soccer video. (C) 2019 Elsevier Inc. All rights reserved.
机译：即使最近有几次尝试在深度神经网络框架内解决跟踪问题，多对象跟踪仍是计算机视觉中一个具有挑战性的问题。本文介绍了一种新颖的足球视频多目标跟踪方法，该方法通常包含严重遮挡的球员之间的复杂交互。为此，我们建议将给定帧中提取的前景区域解释为地形图表面。通过准确地提供每个物体的边界线（即使有遮挡物），也可以为可靠地追逐目标玩家提供很大帮助。随后采用颜色相似度和空间接近度来完善目标玩家的估计位置，以便在整个视频序列上进行连续跟踪。利用广角摄像机对实际比赛进行的各种足球录像的实验结果表明，该方法能够有效地跟踪足球录像动态场景中的多个选手。 （C）2019 Elsevier Inc.保留所有权利。

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