通过灰色的局部不相似图追踪一个人

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI:10.1109/ISCV49265.2020.9204052

Wafae Mrabti, B. Bellach, F. Morain-Nicolier, H. Tairi

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引用次数: 0

摘要

从真实场景中跟踪人类已经引起了计算机视觉界的极大兴趣。本文的目标是提供一种基于不相似度度量的视觉跟踪系统。该方法包括灰色局部不相似图和卡尔曼滤波。在多个图像序列上的实验结果表明，该方法在现实世界场景的几个具有挑战性的方面表现良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Tracking a human being via the gray local dissimilarity map

Tracking human being from real scenes has attracted great interest in the computer vision community. We aim in this paper to provide a visual tracking system that is based on a dissimilarity measure. The proposed method includes the gray Local Dissimilarity Map and the Kalman Filter. Experimental results on several image sequences illustrate that the proposed method performs well in several challenging aspects of real world scenes.

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2020 International Conference on Intelligent Systems and Computer Vision (ISCV)

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