Title :
Alignment based extraction of isolated signs from sign language videos
Author :
Pinar Santemiz;Oya Aran;Murat Saraclar;Lale Akarun
Author_Institution :
Bilgisayar M?hendisli?i B?l?m?, Bo?azi?i ?niversitesi, Turkey
fDate :
4/1/2009 12:00:00 AM
Abstract :
This paper presents a method to extract isolated signs from continuous sign language videos. We use sequences that approximately contain the sign that we are interested in and align the sequences to find the exact start and end frames. We compare different feature extraction methods, different alignment methods, and assess the performance of our system on a database from Turkish sign language.
Keywords :
"Handicapped aids","Videos","Feature extraction","Spatial databases"
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
Print_ISBN :
978-1-4244-4435-9
DOI :
10.1109/SIU.2009.5136450