结合颜色和轮廓特征的目标跟踪算法研究

Baoying Chen, Ningning Zhou, Guofang Huang
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引用次数: 0

摘要

针对传统颜色特征跟踪算法在复杂场景中的不稳定性,提出了一种融合颜色和轮廓特征的目标跟踪算法。该算法仍然使用传统的粒子滤波来预测目标,但在每次迭代中,在搜索目标的最佳位置时,可以自适应地结合目标的颜色和轮廓信息。实验表明,在目标被相似颜色干扰或目标被部分遮挡的情况下,与传统算法相比,该算法具有良好的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on target tracking algorithm integrating color and contour features
Aiming at the instability of traditional color feature tracking algorithm in some complex scenes, an object tracking algorithm with integrating color and contour features is proposed. The algorithm still uses the traditional particle filter to predict the target, but in iteration every time, when searching the best position of the target, the color and contour information of the target can be adaptively combined. Experiments show that it shows good effectiveness and robustness compared with the traditional algorithms when the target is interfered between similar colors or the target is partially obscured.
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