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The effective combination of color and motion information for tracking face and hands in complex background

机译:颜色和运动信息的有效组合,可在复杂背景下跟踪脸和手

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摘要

This paper proposes a novel object tracking algorithm for solving problems of partial occlusion and complex backgrounds. Without background subtraction or training, we successfully extracted the features and tracked objects. With effective combination of color and motion information, we also rejected the static background objects that have similar color of object to be tracked. Moreover, the proposed algorithm has advantages in solving the problem of partial occlusion among target objects at the same time. The proposed Hybrid tracking algorithm based on MAWUPC algorithm and particle filter in this paper is robust to the multiple objects' movement and some kinds of distracters. This is the essential and necessary process of natural Human Computer Interaction, Video Surveillance and Monitoring.
机译:本文提出了一种新颖的目标跟踪算法,用于解决部分遮挡和复杂背景的问题。在没有背景扣除或训练的情况下,我们成功提取了特征并跟踪了对象。通过有效地结合颜色和运动信息,我们还拒绝了具有与要跟踪对象颜色相似的静态背景对象。此外,该算法在解决目标物体之间部分遮挡的问题上具有优势。本文提出的基于MAWUPC算法和粒子滤波的混合跟踪算法对多目标运动和某些干扰因素具有鲁棒性。这是自然的人机交互,视频监视和监视的必要和必要过程。

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