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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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Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking
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本论文是关于视频运动人体目标跟踪方法与性能评估-This paper is on the human target of video motion tracking method and performance assessment
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在优化粒子滤波跟踪框架下, 设计并实现了一个结合多种图像特征、在多摄像机环境下跟踪人体运动的三
维人体运动跟踪系统1 通过定义三维人体模型、摄像机模型以及观测似然模型, 得到跟踪所需目标函数, 并使用优化
粒子滤波算法进行求解1 实验结果表明, 该系统能够对人体运动进行准确的跟踪和三维重建, 可应用于体育运动分
析和动画制作等领域1-A v ideo-based 3D human body motion t racking system is developed under the
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Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and
algorithms for the automatic articulated pose estimation and tracking of humans. Brown University
is involved in an ongoing effort to develop this datase
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