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Monocular 3D Hand Tracking Using Particle Filter with Partitioned Sampling

机译:使用带分区采样的粒子滤波器的单眼3D手跟踪

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摘要

Three dimensional model-based hand tracking always refers to search optimal hand state in high dimensional state space due to the articulated hand model has many Degrees of Freedom (DOFs). This study firstly by introducing dynamic hand constraints into finger's movement angle to reduce local tracking DOFs. Secondly, standard Particle Filter (PF) as the tracking tool needs a huge number of samples to approximate the state's posterior distribution, so it is very time consuming. To reduce the needed samples' number partitioned sampling is used to divide the high dimensional state into a set of low partitions, and a tracking algorithm is built based on these partitions. Thirdly, develop a new method to extract the hand silhouette from frame image by combining Bayes classifier and background subtraction. The extracted hand silhouette is subsequently used to build an observation likelihood model.
机译:基于三维模型的手部跟踪始终指的是在高维状态空间中搜索最佳手部状态,这是因为铰接式手部模型具有许多自由度(DOF)。本研究首先通过将动态手部约束引入手指的运动角度来减少局部跟踪自由度。其次,作为跟踪工具的标准粒子过滤器(PF)需要大量样本才能估计状态的后验分布,因此非常耗时。为了减少所需样本的数量,使用了分区采样将高维状态划分为一组低分区,并基于这些分区构建了跟踪算法。第三,结合贝叶斯分类器和背景减法,开发了一种从帧图像中提取手部轮廓的新方法。随后将提取的手轮廓用于建立观察似然度模型。

著录项

  • 来源
    《Journal of information and computational science》 |2013年第15期|4733-4742|共10页
  • 作者单位

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

    School of Information Science and Engineering, University of Jinan, Jinan 250022, China,Provincial Key Laboratary of Network Based Intelligent Computing, Jinan 250022, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Particle Filter; Partitioned Sampling; Bayes Classifier; Background Subtraction;

    机译:粒子过滤器分区抽样;贝叶斯分类器背景扣除;

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