T. S. Rosenstock ([email protected]) and P. H. Brown, Dept of Plant Sciences, Univ. of California, Davis, Davis, CA 95616, USA. Present address for TSR: Agricultural Sustainability Inst., Univ. of California, Davis, Davis, CA 95616, USA. – A. Hastings and D. J. Lyles, Dept of Environmental Science and Policy, Univ. of California, Davis, Davis, CA 95616, USA. – W. D. Koenig, Lab of Ornitho...

Colour and shape are basic characteristics of traffic signs which are used both by the driver and to develop artificial traffic sign recognition systems. However, these sign features have not been represented robustly in the earlier developed recognition systems, especially in disturbed viewing conditions. In this study, this information is represented by using a human vision colour appearance ...

Hand gesture recognition system plays a vital role in our day to day life. This hand gesture recognition system provides us natural, innovative, user friendly way of interaction with the computer which is more familiar to us. Gesture recognition has a wide area of application including human machine interaction, sign language, game technology robotics etc. There are different static hand gestur...

Visual interpretation of sign language gesture can be useful in accomplishing natural human robot interaction. This paper describes a sign language gesture based recognition, interpreting and imitation learning system using Indian Sign Language for performing Human Robot Interaction in real time. It permits us to construct a convenient sign language gesture based communication with humanoid rob...

Sign acquisition was mainly done using camera or sensor. Due to the invention of some advance devices like Leap Motion Sensor and Kinect the researchers have experienced new horizon for making Sign Language Recognition system more accurate. In this paper, an analysis of different Neural Networks for three sign languages is presented. Many experiments are performed for measuring the performance ...

Sign language (SL) recognition, although has been explored for many years, is still a challenging problem for real practice. The complex background and illumination conditions affect the hand tracking and make the SL recognition very difficult. Fortunately, Kinect is able to provide depth and color data simultaneously, based on which the hand and body action can be tracked more accurate and eas...

This paper introduces the RWTH-PHOENIX-Weather corpus, a video-based, large vocabulary corpus of German Sign Language suitable for statistical sign language recognition and translation. In contrast to most available sign language data collections, the RWTH-PHOENIX-Weather corpus has not been recorded for linguistic research but for the use in statistical pattern recognition. The corpus contains...