Voxel based annealed particle filtering for markerless 3D articulated motion capture

机译：基于体素的退火粒子滤波可实现无标记3D关节运动捕捉

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摘要

This paper presents a view-independent approach to markerless human motion capture in low resolution sequences from multiple calibrated and synchronized cameras. Redundancy among cameras is exploited to generate a 3D voxelized representation of the scene and a human body model (HBM) is introduced towards analyzing these data. An annealed particle filtering scheme where every particle encodes an instance of the pose of the HBM is employed. Likelihood between particles and input data is performed using occupancy and surface information and kinematic constrains are imposed in the propagation step towards avoiding impossible poses. Test over the HumanEva annotated dataset yield quantitative results showing the effectiveness of the proposed algorithm.

机译：本文提出了一种独立于视图的方法，该方法可从多个校准和同步相机以低分辨率序列进行无标记人类运动捕捉。利用摄像机之间的冗余来生成场景的3D体素化表示，并引入人体模型（HBM）来分析这些数据。采用了一种退火的粒子滤波方案，其中每个粒子都编码HBM姿态的一个实例。使用占用率和表面信息来执行粒子和输入数据之间的似然性，并在传播步骤中施加运动学约束，以避免不必要的姿势。对HumanEva批注数据集进行的测试得出了定量结果，表明了所提出算法的有效性。

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来源
《3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009》|2009年|1-4|共4页
会议地点 Potsdam(DE);Potsdam(DE)
作者
Canton-Ferrer C.; Casas J.R.; Pardas M.;
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Image Process. Group, Tech. Univ. of Catalonia, Barcelona;

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image representation; image resolution; image sequences; particle filtering (numerical methods); video signal processing; 3D voxelized representation; HumanEva annotated dataset; annealed particle filtering; human body model; low resolution sequences; markerless 3D articulated motion capture; multi-camera analysis; surface information; Human motion capture; particle filtering; voxel processing;

机译：图像表示;图像分辨率;图像序列;粒子滤波（数值方法）;视频信号处理; 3D体素表示; HumanEva注释数据集;退火粒子滤波;人体模型;低分辨率序列;无标记3D关节运动捕捉;多相机分析表面信息人体运动捕捉粒子滤波体素处理;

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专利

1. Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking [J] . Xiangyang Wang Wanggen Wan Xiaoqin Zhang and Xiaoqing Yu Optical Engineering . 2010,第1期

机译：基于粒子群优化的退火粒子滤波器用于关节三维人体运动跟踪
2. Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking [J] . Xiangyang Wang, Wanggen Wan, Xiaoqin Zhang, Optical engineering . 2010,第1期

机译：基于粒子群优化的退火粒子滤波器用于关节三维人体运动跟踪
3. Comparing evolutionary algorithms and particle filters for Markerless Human Motion Capture [J] . Enrique Yeguas-Bolivar, Rafael Munoz-Salinas, Rafael Medina-Carnicer, Applied Soft Computing . 2014,第Null期

机译：比较无标记人类动作捕捉的进化算法和粒子滤波器
4. VOXEL BASED ANNEALED PARTICLE FILTERING FOR MARKERLESS 3D ARTICULATED MOTION CAPTURE [C] . C. Canton-Ferrer, J. R. Casas, M. Pardas Conference on The True VIsion - Capture, Transmission and Display of 3D Video . 2009

机译：基于体素的无标记3D铰接运动捕获的退火颗粒滤波
5. Multi-camera system design, calibration and three-dimensional reconstruction for markerless motion capture. [D] . Beriault, Silvain. 2008

机译：多摄像机系统设计，校准和三维重建，可实现无标记运动捕捉。
6. Significance of Brownian Motion for Nanoparticle and Virus Capture in Nanocellulose-Based Filter Paper [O] . Olof Gustafsson, Simon Gustafsson, Levon Manukyan, 1939

机译：布朗运动对纳米纤维素滤纸中纳米颗粒和病毒捕获的意义
7. Voxel based annealed particle filtering for markerless 3D articulated motion capture [O] . Canton Ferrer, Cristian, Casas Pla, Josep Ramon, Pardàs Feliu, Montse 2009

机译：基于体素的退火粒子滤波，用于无标记3D关节运动捕捉

Voxel based annealed particle filtering for markerless 3D articulated motion capture

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