Feature-driven motion model-based particle-filter tracking method with abrupt motion handling

Yu Liu; Shiming Lai; Bin WangMaojun ZhangWei Wang

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Feature-driven motion model-based particle-filter tracking method with abrupt motion handling

机译：Feature-driven motion model-based particle-filter tracking method with abrupt motion handling

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摘要

The potential for the research of object tracking in computer vision has been well established, but previous object-tracking methods, which consider only continuous and smooth motion, are limited in handling abrupt motions. We introduce an efficient algorithm to tackle this limitation. A feature-driven (FD) motion model-based features from accelerated segment test (FAST) feature matching is proposed in the particle-filtering framework. Various evaluations have demonstrated that this motion model can improve existing methods' performances to handle abrupt motion significantly. The proposed model can be applied to most existing particle-filter tracking methods.

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来源
《Optical Engineering》 |2012年第4期|047203-1-047203-6|共6页
作者
Yu Liu; Shiming Lai; Bin WangMaojun ZhangWei Wang;
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作者单位

National University of Defense Technology, College of Information System and Management, Changsha, Hu'nan, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
关键词
abrupt motion; feature-driven; motion model; object tracking; particle filter;

Feature-driven motion model-based particle-filter tracking method with abrupt motion handling

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