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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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为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点,提出1 种基于决策树的多特征检测算法,并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息,通过计算各特征的信息增益建立决策树,将搜救目标检测问题分解成3 层决策树分类问题. 实验表明,该算法能够提高多特征目标检测的效率,在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
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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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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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