Advertisement
Published in:
2008 | OriginalPaper | Chapter
A Dempster-Shafer Theory Based Combination of Classifiers for Hand Gesture Recognition
Authors : Thomas Burger, Oya Aran, Alexandra Urankar, Alice Caplier, Lale Akarun
Published in: Computer Vision and Computer Graphics. Theory and Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
As part of our work on hand gesture interpretation, we present our results on hand shape recognition. Our method is based on attribute extraction and multiple partial classifications. The novelty lies in the fashion the fusion of all the partial classification results are performed. This fusion is (1) more efficient in terms of information theory and leads to more accurate results, (2) general enough to allow heterogeneous sources of information to be taken into account: Each classifier output is transformed to a belief function, and all the corresponding functions are fused together with other external evidential sources of information.