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Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by
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Matching methods such as the Hungarian algorithm have recently made an appearance as an alternative to classical tracking algorithms in computer vision, since they are able to nd the set of tracks that optimizes well-dened criteria over a given vid
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基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信
息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
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This paper describes an approach of implementing
software based GPS receiver acquisition and tracking for
L1 C/A signal on ADSP SHARC. The main objective of this
paper is bring out fast GPS signal tracking method using
which more number of ch
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A context-aware system is one that gracefully adapts to user
environment changes, rendering its applications/services more personalized.
Location has been long considered as the most important context
and numerous Location Based Services have b
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a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module
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Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
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最大功率点跟踪（MPPT）在光伏电池的应用-Maximum Power Point Tracking
Algorithms for Photovoltaic Applications
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A presentation describing object tracking in wireless sensor networks contains how to track, PROTOCOLS AND ALGORITHMS AVAILABLE.
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本文在初步完成嵌入式视频跟踪系统的总体设计和系统软硬件选择的基础
上，重点进行了自动检测和跟踪算法开发。自动视频检测和跟踪算法开发是本文
的核心内容。-In this dissertation，automatic video detection and tracking algorithms
of moving targets have been presented based on accomplishing general design
of intelligent—embe
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FACE DETECTION ALGRITHM PAPER
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关于高动态下GPS跟踪的论文，2009年-Performance Analysis of Vector Tracking Algorithms
for Weak GPS Signals in High Dynamics
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计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人
工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通
等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类,
研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉
跟踪算法的未来研究方向。-One of the computer vision
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基于规格化Hough变换的天波超视距雷达检测前跟踪算法-Hough transform based on the normalized horizon radar detection and tracking algorithms
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压缩感知中经典算法的matlab代码，如包含典型的匹配追踪算法，子空间追踪算法等等。-Compressed sensing classical algorithm matlab code, such as those containing the typical matching pursuit algorithm, subspace tracking algorithms and so on.
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该文章详细描述了移动机器人在目标追踪和路径选择中的几种算法及仿真实验。-The article describes in detail the mobile robot to chase the target article describes in detail the mobile robot in the target tracking and routing of several algorithms and simulation experiments. Tracking and ro
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Document describing multi-point tracking algorithms
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一篇关于GPS单频软件接收机的捕获和跟踪算法的文章，并基于MATLAB平台在PC上仿真了GPS单频软件接收机-A paper about a single frequency GPS software receiver capture and tracking algorithms, and design a software receiver based on the MATLAB platform on PC for single frequency GPS
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擴增實境技術是在真實視訊影像中加入虛擬物件，並透過追蹤與定位技術，可以與人們產生良好之互動效果。在視覺追蹤應用領域裡，可分為標記與無標記兩類應用。標記識別技術較為成熟，目前擴增實境開發平台以採用標記識別為主；至於無標記則侷限在特定方法之識別追蹤應用領域，例如樂高玩具利用包裝盒上之印刷圖片當作辨識物件。面對無標記擴增實境之應用日趨重要，且必須因應不同物件採用不同特徵之識別追蹤方法來達成無標記擴增實境之應用。而目前擴增實境平台並不提供模組化方式來替換識別追蹤方法，因此本文提出無標記擴增實境實驗平台，
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REVIEW OF LANE DETECTION AND TRACKING ALGORITHMS IN ADVANCED DRIVER ASSISTANCE SYSTEM
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