Novel-View Synthesis of Outdoor Sport Events Using an Adaptive View-Dependent Geometry
Computer Graphics Forum
Topic based pose relevance learning in dance archives
Proceedings of the 21st ACM international conference on Information and knowledge management
Warping trajectories for video synchronization
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Proceedings of the 10th European Conference on Visual Media Production
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We propose a data-driven, multi-view body pose estimation algorithm for video. It can operate in uncontrolled environments with loosely calibrated and low resolution cameras and without restricting assumptions on the family of possible poses or motions. Our algorithm first estimates a rough pose estimation using a spatial and temporal silhouette based search in a database of known poses. The estimated pose is improved in a novel pose consistency step acting locally on single frames and globally over the entire sequence. Finally, the resulting pose estimation is refined in a spatial and temporal pose optimization consisting of novel constraints to obtain an accurate pose. Our method proved to perform well on low resolution video footage from real broadcast of soccer games.