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Video object matching across multiple independent views using local descr iptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descr iptors and adaptive learning article d
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Using colour features for video-based tracking of people in a multi-camera
environment.-Using colour features for video-based tracking of people in a multi-camera
environment.
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Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj
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This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardwa
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This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardwa
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The paper describes a new robust real time algorithm for 3D object tracking in a video sequences.
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A paper on Multi-Strategy Object Tracking in Complex Situation for Video Surveillance
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Moving Object Tracking in Video
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《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly rel
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TLD is an award-winning, real-time algorithm for tracking of unknown objects in video streams. The object of interest is defined by a bounding box in a single frame. TLD simultaneously T racks the object, L earns its appearance and D etects it whenev
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计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作
为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目
标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然
后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过
渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系
统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频
图像中的
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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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Very recently tracking was approached using classification techniques such
as support vector machines. The object to be tracked is discriminated by a
classifier from the background. In a similar spirit we propose a novel on-line
AdaBoost featur
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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object tracking and detection in video image processing. classification of objects in video.
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This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2012-2015 The MathWorks, Inc.
Detection of moving objects and motion-based tracking are im
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This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2012-2015 The MathWorks, Inc.
Detection of moving objects and motion-based tracking are im
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