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CROWD SEGMENTATION BASED ON FUSION OF APPEARANCE AND MOTION FEATURES

机译:基于外观和运动特征融合的人群分割

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摘要

Crowd segmentation is an important topic in a visual surveillance system.In this paper,crowd segmentation is formulated as a problem to cluster the feature points inside the foreground region with a set of rectangles.Coherent motion of feature points in an individual are fused with appearance cues around the feature points for crowd segmentation,which has improved the segmentation performance.Furthermore,three descriptors are proposed to extract the points with a non-articulated movement.Some results on the CAVIAR dataset have been shown.The results show that coherent motion cue can be used more reliably by considering the points with rigid motion only.
机译:人群分割是视觉监控系统中的一个重要主题。本文将人群分割公式化为将前景区域内的特征点与一组矩形聚类的问题。个体中特征点的相干运动与外观融合在一起围绕特征点进行线索分割,从而提高了分割性能。此外,提出了三个描述子以无关节运动的方式提取点。在CAVIAR数据集上显示了一些结果。结果表明,相干运动线索仅考虑刚性运动的点就可以更可靠地使用。

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