@inproceedings{74523b1a9f8543458a4f1b0e94034119,
title = "Posing to the camera: Automatic viewpoint selection for human actions",
abstract = "In many scenarios a scene is filmed by multiple video cameras located at different viewing positions. The difficulty in watching multiple views simultaneously raises an immediate question - which cameras capture better views of the dynamic scene? When one can only display a single view (e.g. in TV broadcasts) a human producer manually selects the best view. In this paper we propose a method for evaluating the quality of a view, captured by a single camera. This can be used to automate viewpoint selection. We regard human actions as three-dimensional shapes induced by their silhouettes in the space-time volume. The quality of a view is evaluated by incorporating three measures that capture the visibility of the action provided by these space-time shapes. We evaluate the proposed approach both qualitatively and quantitatively.",
author = "Dmitry Rudoy and Lihi Zelnik-Manor",
year = "2011",
doi = "10.1007/978-3-642-19282-1\_25",
language = "الإنجليزيّة",
isbn = "9783642192814",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 4",
pages = "307--320",
booktitle = "Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers",
edition = "PART 4",
note = "10th Asian Conference on Computer Vision, ACCV 2010 ; Conference date: 08-11-2010 Through 12-11-2010",
}