SLMotion - An extensible sign language oriented video analysis tool

no code implementations • LREC 2014 • Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen

We present a software toolkit called SLMotion which provides a framework for automatic and semiautomatic analysis, feature extraction and annotation of individual sign language videos, and which can easily be adapted to batch processing of entire sign language corpora.

Sign Language Recognition

S-pot - a benchmark in spotting signs within continuous signing

no code implementations • LREC 2014 • Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen

In this paper we present S-pot, a benchmark setting for evaluating the performance of automatic spotting of signs in continuous sign language videos.

Comparing computer vision analysis of signed language video with motion capture recordings

no code implementations • LREC 2012 • Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, Danny De Weerdt

We consider a non-intrusive computer-vision method for measuring the motion of a person performing natural signing in video recordings.