基于颜色特征和轮廓信息自适应融合的粒子滤波用于目标跟踪

2011 Fourth International Symposium on Computational Intelligence and Design Pub Date : 2011-10-28 DOI:10.1109/ISCID.2011.192

Bing Pu, F. Zhou, X. Bai

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引用次数: 9

摘要

粒子滤波是贝叶斯框架下的一种概率多假设算法。为了建立稳健的观测模型，本文提出了一种利用更有效的颜色特征自适应集成轮廓信息的方法。实验结果验证了该方法的有效性。

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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Particle Filter Based on Color Feature with Contour Information Adaptively Integrated for Object Tracking

particle filter is a probabilistic multi-hypothesis algorithm under the Bayesian framework. In order to establish a robust observing model, in this paper, a novel method which uses a more effective color feature with contour information integrated adaptively is proposed. Experimental results verified that, our approach was efficient.

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2011 Fourth International Symposium on Computational Intelligence and Design

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