Abstract
Tracking people using movie sequences is not straightforward because of the human body’s articulation and the complexity of a person’s movements. In this paper we show how a person’s 3D pose can be reconstructed by using corresponding silhouettes of video sequences from a monocular view. Currently, a virtual avatar is used to train the model for inferring the pose and a different avatar is used to produce novel examples not in the training set in order to evaluate the approach. The approach was subsequently tested using the silhouettes of walking people.
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Hu, S., Buxton, B.F. (2005). Using an Avatar to Develop a System for the Predication of Human Body Pose from Moments. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_26
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DOI: https://doi.org/10.1007/11573548_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
Online ISBN: 978-3-540-32273-3
eBook Packages: Computer ScienceComputer Science (R0)