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  1. ResearchOnKeyTechnologiesOfRobustFaceTrackingSyste

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  2. 鲁棒人脸跟踪系统学位论文;提出了一种两阶段的光照均衡的方法来消除单幅图像中的各种阴影包括模糊阴影,投射阴影等 根据快速的Adaboost 训练框架,本文提出了一个实时的鲁棒人脸检测算法 提出了一种基于在线实值boosting 的方法来处理人脸在跟踪过程中发生的外貌变化;实现了一个基于以上模块的完全自动化的人脸跟踪器-Robust Face Tracking System dissertation proposes a two-stage light-balanced approach to t
  3. 所属分类:Document

    • 发布日期:2017-04-09
    • 文件大小:1139629
    • 提供者:田卉
  1. ameanshifttrackerimplementationsinndhume

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  2. 关于运动物体跟踪的论文,ameanshifttrackerimplementations-Moving object tracking on the paper, a-mean-shift-tracker-implementations
  3. 所属分类:Document

    • 发布日期:2017-04-06
    • 文件大小:266445
    • 提供者:shujuan
  1. YDD_ICCV05_HPF

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  2. "Bayesian Mean Shift Face Tracker" This is a paper about tracking by particle filter. This is very useful.
  3. 所属分类:software engineering

    • 发布日期:2017-04-07
    • 文件大小:499761
    • 提供者:Wolf
  1. 1-s2.0-S1876610211014731-main

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  2. Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver the maximum power available. The present paper proposes a maximum power point tracker (MPPT) m
  3. 所属分类:Communication

    • 发布日期:2017-05-06
    • 文件大小:1214217
    • 提供者:Ninouh
  1. 00581581

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  2. This paper considers the oretical and practical implementation of the a-p tracking process under the influence of track rate variations and/or track period perturbations. These considerations are necessary when the a-p tracker is used in The
  3. 所属分类:Development Research

    • 发布日期:2017-04-24
    • 文件大小:324093
    • 提供者:aida
  1. mb_ftracker

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  2. Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
  3. 所属分类:Development Research

    • 发布日期:2017-04-25
    • 文件大小:67198
    • 提供者:assouma
  1. A-versatile-object-tracking-algorithm-combining-P

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  2. This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and
  3. 所属分类:Development Research

    • 发布日期:2017-05-11
    • 文件大小:2140213
    • 提供者:SALEH
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