Joint feature points correspondences and color similarity for robust object tracking

机译：联合特征点对应和颜色相似性，以实现强大的对象跟踪

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摘要

A new visual object tracking algorithm is proposed by using joint feature points correspondences and color similarity of the moving object to solve the background disturbance. This tracking algorithm is based on particle filtering in which a new method of computing each sample weight is proposed. Each sample weight can be obtained through measuring the similarities of color histogram and feature points between the object model and each sample. Comparisons with the conventional particle filtering and a combination between the mean shift tracking and kalman filtering, the experimental results show that this approach is robust to the moving objects tracking.

机译：提出了一种新的视觉目标跟踪算法，利用运动目标的联合特征点对应和颜色相似度来解决背景干扰。该跟踪算法基于粒子滤波，其中提出了一种计算每个样本权重的新方法。通过测量对象模型与每个样本之间的颜色直方图和特征点的相似性，可以获得每个样本的权重。与常规粒子滤波以及均值漂移跟踪和卡尔曼滤波相结合的实验结果表明，该方法对运动物体的跟踪具有鲁棒性。

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《2011 International Conference on Multimedia Technology》|2011年|p.403-407|共5页
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Linqiang Chen; Wei Li; Weiliang Yin;
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中图分类多媒体技术与多媒体计算机;
关键词
color histogram; feature points; object tracking; particle filtering;

机译：彩色直方图;特征点;目标跟踪;粒子滤波;

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专利

1. Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking [J] . Khan Z. H., Gu I. Y.-H. Information Forensics and Security, IEEE Transactions on . 2010,第3期

机译：鲁棒的视觉对象跟踪的联合特征对应和外观相似性
2. Tracking by Location and Features: Object Correspondence Across Spatiotemporal Discontinuities During Multiple Object Tracking [J] . Frank Papenmeier, Hauke S. Meyerhoff, Georg Jahn, Journal of experimental psychology. human perception and performance . 2014,第1期

机译：按位置和特征进行跟踪：跨对象时空不连续的对象对应
3. ROBUST OBJECT TRACKING USING JOINT COLOR-TEXTURE HISTOGRAM [J] . JIFENG NING, LEI ZHANG, DAVID ZHANG, International Journal of Pattern Recognition and Artificial Intelligence . 2009,第7期

机译：使用联合颜色纹理直方图进行稳健的对象跟踪
4. Joint feature points correspondences and color similarity for robust object tracking [C] . Linqiang Chen, Wei Li, Weiliang Yin International Conference on Multimedia Technology . 2011

机译：联合功能点对应关系和鲁棒对象跟踪的颜色相似性
5. Robust Multiple Object Tracking Using ReId Features and Graph Convolutional Networks [D] . Lusardi, Christian. 2021

机译：使用Reid特征和图形卷积网络强大的多个对象跟踪
6. Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking [O] . Mustansar Fiaz, Arif Mahmood, Soon Ki Jung 2020

机译：基于软掩模的基于软件融合具有频道和空间注意力可用于鲁棒性视觉对象跟踪
7. Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering [O] . Chau, Duc Phu, Bremond, François, Thonnat, Monique, 2011

机译：基于多特征相似度和鲁棒性的鲁棒移动目标跟踪轨迹过滤

Joint feature points correspondences and color similarity for robust object tracking

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