Motion capture and human pose reconstruction from a single-view video sequence
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/20830
Digital Signal Processing: A Review Journal
- Research Paper 
We propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single-view video frames. The framework for pose construction starts with background estimation and the performer's silhouette is extracted using image subtraction for each frame. Then the body silhouettes are automatically labeled using a model-based approach. Finally, the 3D pose is constructed from the labeled human silhouette by assuming orthographic projection. The proposed approach does not require camera calibration. It assumes that the input video has a static background, it has no significant perspective effects, and the performer is in an upright position. The proposed approach requires minimal user interaction. © 2013 Elsevier Inc.
Showing items related by title, author, creator and subject.
Aman, Aytek (Bilkent University, 2014)Augmented reality (AR) is the enhancement of real scenes with virtual entities. It is used to enhance user experience and interaction in various ways. Educational applications, architectural visualizations, military ...
Pehlivan, S.; Duygulu P. (2011)We address the problem of recognizing actions from arbitrary views for a multi-camera system. We argue that poses are important for understanding human actions and the strength of the pose representation affects the overall ...
Autofocus of infrared cameras based on the cumulative probability of blur detection [Bulaniklik tespiti birikimli olasiliǧina dayali kizilötesi kamera otomatik odaklanmasi] Cakir, S.; Cetin, A.E. (IEEE Computer Society, 2014)The infrared (IR) cameras plays an important role in the measurement and analysis of object signature. However, especially the scientific IR cameras that are used for research and military purposes have manual focusing ...