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Multiple people tracking using an appearance model based on temporal color

机译:多人使用基于时间颜色的外观模型进行跟踪

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We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system continuously tracks people moving in a group with occlusion. Experimental results show that the temporal color is more stable than shape or intensity when used in various cases.
机译:我们提出了一种方法,用于检测和跟踪图像序列中一段时间​​内某个场景中完全被遮挡或看不见的多个人。我们的方法是将时间加权的颜色信息(即时间颜色)用于健壮的中期人员跟踪。它可以确保我们的系统连续跟踪有遮挡的人群。实验结果表明,在各种情况下使用时,临时颜色比形状或强度更稳定。

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