This paper describes the authors' experiments with Support Vector Machines and Hidden
Conditional Random Fields on the classification of freely articulated sign words drawn from …

Recognition of gesture sequences is in general a very difficult problem, but in certain
domains the difficulty may be mitigated by exploiting the domain's" grammar". One such …

An efficient method for utilising a 2D camera to recognise hand gestures in 3D space is
described. The work is presented within the context of a recuperation aid for younger …

This paper presents a new algorithm, called Dynamic Arc-Length Warping algorithm (DALW)
for hand gesture recognition based on the orientation data. In this algorithm, after calculating …

Sign Language (SL) is a method of communication for deaf people and speech impaired.
Sign language differs from country to country so it is not a standard and universal. Used sign …

This paper presents a novel hand gesture recognition method based on Principal
Directional Features (PDF). The image sequence is captured using a fixed mounted …

This paper describes the authors' experiments with Support Vector Machines and Hidden
Conditional Random Fields on the classification of freely articulated sign words drawn from …

HMM-based models are widely used in many fields such as pattern recognition, speech
recognition or Part-of-speech tagging. However, A HMM can be considered as a simplest …

LK matching typically employs simple brightness constancy assumptions and uses Sum of
Squared Difference (SSD). We chose to base our tracking on MI because of its robustness to …

This manuscript and associated talk gives an historical but not exhaustive overview of work
in the Cognitive Vision Lab at the University of Surrey's Centre for Vision Speech and Signal …