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opencv上目标跟踪和行人跟踪非常需要的视频序列源，来源于卡内基梅隆大学。大家共同学习-opencv target tracking and pedestrians on the track a much needed source of video sequences, from Carnegie Mellon University. We learn together
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meanshiftkamen实现的运动目标跟踪,可用于行人与车辆！-Sports meanshiftkamen implementation of target tracking, can be used for pedestrians and vehicles!
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这个在IEEE上下载的关于基于视频图像的车辆行人检测跟踪系统，对毕业设计有帮助-IEEE downloaded this on video images based on detection of vehicles and pedestrians tracking system designed to help graduate
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提出了一种保护隐私的人群大小的估计，不依靠跟踪和计数的方法。-present a privacy-preserving system for estimating the size of homogeneous crowds, composed of pedestrians that travel in different directions, without using explicit object
segmentation or tracking.
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利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant.
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摄像头固定情况下的运动行人跟踪进行研究，Mean Shift算法，与目标区域灰度直方图结合，进行运动目标的检测跟踪-tracking study of the movement of pedestrians in case of a fixed camera introduces a better application of Mean Shift algorithm
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分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。-Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this
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