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一种实时的车辆检测和跟踪系统,抗前向遮挡 ICPR 06 IEEE. A Real-Time vehicle detection and tracking system,prior occlusion resolusion
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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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一种跟踪方法,将图像分成若干的图像块,进行块匹配,很好的解决了遮挡问题,-A tracking method, the image is divided into a number of image blocks, the block matching, a good solution to the occlusion problem,
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Gary R.Bradski提出CamShift算法,即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法,可以有效地解决目标变形和部分遮挡的问题,而且运算效率很高。在视频跟踪过程中,CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图,并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小,得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm,
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基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置,同时利用特征监测来处理目标的遮挡、分裂问题,并实现目标特征的实时更新。在目标匹配过程中,通过对目标前一帧与当前帧的特征相似性进行投票,得到匹配目标。利用视频图像进行实验,结果表明:该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性,较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in differe
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This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by a
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This a research paper and a poster on occlusion detection....was part of an Msc thesis.-This is a research paper and a poster on occlusion detection....was part of an Msc thesis.
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摘要:在交通场景下进行多目标跟踪时,如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题,运用投
影理论分析交通场景的三维几何投影特征.用长方体投影轮廓模型对车辆进行建模,重构其乏维投影轮廓,以进行遮挡的检
测和分离。与以往的方法相比,它在估计出的车辆外形轮廓基础t-进行遮挡检测,不需要匹配操作,计算量较小,并能解决
基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi—object tracking of traf氍c scene。how
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跟踪的遮挡研究,这是一遍有关遮挡研究的论文,对其中出现的问题做了深入的研究,相信会对大家的学习有很好的作用。-Occlusion tracking study, which was again blocked research on paper, on which it appears to do a deep research problem, I believe we will have a good effect in learning.
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Rule-driven Object Tracking in Clutter and Partial Occlusion with Model-based Snakes - G. Tsechpenakis2004
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本文提出一种复杂条件下基于子空间梯度方向直方图跟踪的方法, 实验结果表明,该方法能够在光照变化、噪声干扰、模糊、目标姿态和尺度改变,以及部分遮挡等恶劣条件下实现准确跟踪,比传统的跟踪方法具有更高的跟踪精度和跟踪鲁棒性,能够满足地面侦察任务在多种复杂条件下对感兴趣目标进行准确跟踪的需求-In this paper, under the conditions of a complex gradient direction histogram based on subspace tracking me
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对背景干扰及遮挡鲁棒的视频目标跟踪算法robust-Background interference and occlusion of the video object tracking algorithm robust
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遮挡情况下最稳定有效的物体跟踪算法 fragtracker -- adam, cvpr 06-The most stable and effective under occlusion in object tracking algorithm fragtracker- adam, cvpr 06
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多目标跟踪的一篇文章,写的还不错,英文的文章,可以作为目标跟踪的读物-Tracking multiple people under occlusion and
across cam eras using probabilistic models
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This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves com
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用mean-shift算法实现目标在线跟踪,在发生光照变化,遮挡等情况时都能准确的跟踪目标-Using the Mean-shift algorithm to achieve the goal of online tracking, and accurate tracking of the target can occur illumination changes, occlusion, etc.
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室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感
器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征,结合均值漂移
算法与水平集曲线演化实现目标定位,并给出了目标尺度和模板更新方法;对多目标跟踪的互相遮挡问题,通过判
断目标合并与分离实现遮挡时多个目标的定位。实验结果表明,该文方法能够有效处理光照变化、阴影、遮挡等情
况,实现目标的稳定跟踪。-Considering the poor stabilit
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这是几篇关于目标跟踪中目标被遮挡情况的文献资料,比较全面。-This is a few on the target tracking target is occluded by literature data, more comprehensive.
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视频的运动目标跟踪,目标可自行框定选择。采用MeanShift、纹理特征及混合高斯模型等融合的方法。目标跟踪效果非常好,尤其运动速度较快情况,以及人物间遮挡情况。-Video moving target tracking, the goal of self-framed choice. Of MeanShift, texture feature and mixed Gaussian model fusion method. Target tracking performance is very
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这是一种新的单目标长时间(long term tracking) 跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时,通过一种改进的在线学习机制不断更新跟踪模块的显著特征点和检测模块的目标模型及相关参数,从而使得跟踪效果更加稳定、鲁棒、可靠。-This is a new single target for a long time (long term tracking) tracking algorit
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