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Published in:
2013 | OriginalPaper | Chapter
3D Motion Estimation of Human Body from Video with Dynamic Camera Work
Authors : Matsumoto Ayumi, Wu Xiaojun, Kawamura Harumi, Kojima Akira
Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Publisher: Springer Berlin Heidelberg
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Occlusion or camera setting produces a high degree of ambiguity when estimating human body motion from monocular video sequences. Good human motion models are an important means of addressing this problem. In this work, we propose a hierarchical motion model and a motion estimation for it to estimate human motion without camera calibration and with free camera operation. The model is able to generate particles in multi-spaces and thus is able to estimate both camera view and human motion at one time. We showed the possibility of achieving 3D motion estimation for simple movements such as ”walking” without camera calibration and with dynamic camera operation.