| KEYWORD |
I-Vector Modeling of Gestures in Automated Sign Language Recognition
keywords ASSISTIVE TECHNOLOGIES, COMPUTER VISION, IMAGE PROCESSING, PATTERN RECOGNITION
Reference persons PAOLO ERNESTO PRINETTO
External reference persons TIOTTO Gabriele (PhD)
Research Groups TESTGROUP - TESTGROUP
Thesis type EXPERIMENTAL
Description The thesis aims at applying models used in speech recognition to the Sign Language recognition. The student will study algorithms for feature extraction of movements from video frames. An architecture will be designed, based on the extraction of parameters (i-vectors) from a low dimensional space (total variability space).
The goal is to apply and investigate the performance of this architecture in the field of signer's image recognition.
Required skills Programming Languages: C, C++, Python, Java.
Deadline 31/12/2012
PROPONI LA TUA CANDIDATURA