This work addresses the problem of human motion analysis in video sequences of a scene observed by a single fixed camera with high perspective effect. The goal of this work is to make a 2D-Model (made of Shape and Stick figure) viewpoint-insensitive and preprocess the input image for removing the perspective effect. We focus our methodology on using the 3D principal directions of man-made environments and also the direction of motion to transform both 2D-Model and input images to a common frontal view (parallel or orthogonal to the direction of motion) before the fitting process. The inverse transformation is then performed on the resulting human features obtaining a segmented silhouette and a pose estimation in the original input image. Preliminary results are very promising since the proposed algorithm is able to locate head and feet with a better precision than previous one.
CITATION STYLE
Rogez, G., Guerrero, J. J., Martínez, J., & Orrite, C. (2006). Viewpoint independent human motion analysis in man-made environments. In BMVC 2006 - Proceedings of the British Machine Vision Conference 2006 (pp. 659–668). British Machine Vision Association, BMVA. https://doi.org/10.5244/c.20.68
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