Title |
Comparing computer vision analysis of signed language video with motion capture recordings |
Authors |
Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger and Danny De Weerdt |
Abstract |
We consider a non-intrusive computer-vision method for measuring the motion of a person performing natural signing in video recordings. The quality and usefulness of the method is compared to a traditional marker-based motion capture set-up. The accuracy of descriptors extracted from video footage is assessed qualitatively in the context of sign language analysis by examining if the shape of the curves produced by the different means resemble one another in sequences where the shape could be a source of valuable linguistic information. Then, quantitative comparison is performed first by correlating the computer-vision-based descriptors with the variables gathered with the motion capture equipment. Finally, multivariate linear and non-linar regression methods are applied for predicting the motion capture variables based on combinations of computer vision descriptors. The results show that even the simple computer vision method evaluated in this paper can produce promisingly good results for assisting researchers working on sign language analysis. |
Topics |
Sign Language Recognition/Generation, Tools, systems, applications, Multimedia Document Processing |
Full paper |
Comparing computer vision analysis of signed language video with motion capture recordings |
Bibtex |
@InProceedings{KARPPA12.321,
author = {Matti Karppa and Tommi Jantunen and Ville Viitaniemi and Jorma Laaksonen and Birgitta Burger and Danny De Weerdt}, title = {Comparing computer vision analysis of signed language video with motion capture recordings}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |