| 多摄像机人体姿态跟踪 |
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| 引用本文： | 孙洛,邸慧军,陶霖密,徐光祐.多摄像机人体姿态跟踪[J].清华大学学报(自然科学版),2011(7):966-971. |
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| 作者姓名： | 孙洛 邸慧军 陶霖密 徐光祐 |
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| 作者单位： | 清华大学计算机科学与技术系普适计算教育部重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目(60673189,60433030) |
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| 摘 要： | 人体姿态跟踪是人类行为分析和识别的基础,具有广阔的应用范围。该文以人体的头肩部轮廓构成的Ω形状的曲线作为跟踪目标,利用多摄像机间的位置约束和形状约束,提出了一种基于多摄像机的人体朝向、位置和头肩部轮廓的联合跟踪算法。该算法将多视角头肩部轮廓跟踪和三维空间中的头肩部位置跟踪、朝向检测融合于同一框架中。真实场景实验表明该算法具有良好的鲁棒性和准确性。
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| 关 键 词： | 姿态跟踪 多摄像机 粒子滤波器 动态Bayes网 |
Human posture tracking in a multi-camera environment |
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| SUN Luo,DI Huijun,TAO Linmi,XU Guangyou.Human posture tracking in a multi-camera environment[J].Journal of Tsinghua University(Science and Technology),2011(7):966-971. |
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| Authors: | SUN Luo DI Huijun TAO Linmi XU Guangyou |
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| Institution: | (Key Laboratory of Pervasive Computing of Ministry of Education,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China) |
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| Abstract: | Human posture tracking has long been of interest for its wide applications in human motion recognition and analysis.A tracking algorithm was developed using the Ω-shaped curve of the human head and shoulder as the tracking target based on the position and shape constraints among distinct views in a multi-camera environment.The algorithm integrates tracking and detection to simultaneously track the human posture and location in 3-D space as well as the head-shoulder contour.The robustness and efficacy of the approach is confirmed in challenging real-world scenarios. |
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| Keywords: | posture tracking multi-camera particle filter dynamic Bayesian network |
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