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5下载：
采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
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灰色系统理论中的灰色预测模型，多元灰色预测模型的构建，可用于系统建模，控制系统，模型设计，预测控制，视觉目标跟踪中的运动预测等应用。-Grey prediction model in Grey System Theory can be applied in system modeling, control system, model design, prediction control and motion estimation in visual object tracking, etc.
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该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！-These codes are us
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Vision based object identification and tracking for mobile robot visual servo control
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“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
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《TRACKING LEARNING DETECTION》视觉追踪理论，Zdenek Kalal著(Visual tracking is the process of locating an object in a video sequence.)
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The aim of visual servoing is tracking an object by the feedback information of the vision sensor. There are different techniques for controlling the system, in this work, Image based visual servoing has been chosen. The goal of propsed system is tra
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