Handling Movement Epenthesis and Hand Segmentation Ambiguities in Continuous Sign Language Recognition Using Nested Dynamic Programming
نویسندگان
چکیده
منابع مشابه
Hand Gesture Recognition using Sign Language
Sign Language is mostly used by deaf and dumb people. In order to improve the man machine interaction, sign language can be used as a way for communicating with machines. Most of the applications which enable sign language processing are using data gloves and other devices for interacting with computers. This restricts the freedom of users. So to avoid this, this system we capture live video st...
متن کاملImprovement Tracking Dynamic Programming using Replication Function for Continuous Sign Language Recognition
In this paper we used a Replication Function (R. F.) for improvement tracking with dynamic programming. The R. F. transforms values of gray level [0 255] to [0 1]. The resulting images of R. F. are more striking and visible in skin regions. The R. F. improves Dynamic Programming (D. P.) in overlapping hand and face. Results show that Tracking Error Rate 11% and Average Tracked Distance 7% reduced.
متن کاملDynamic Hand Gesture Recognition of Arabic Sign Language using Hand Motion Trajectory Features
In this paper we propose a system for dynamic hand gesture recognition of Arabic Sign Language. The proposed system takes the dynamic gesture (video stream) as input, extracts hand area and computes hand motion features, then uses these features to recognize the gesture. The system identifies the hand blob using YCbCr color space to detect skin color of hand. The system classifies the input pat...
متن کاملA Vision Based Static Hand Pose, Hand Movement Recognition System For Sign Language Using Eigen Vector Theory In MATLAB
This paper presents a vision based system that provides a feasible solution to Indian Sign Language (ISL) recognition of static gestures of alphabets. It deals with images of bare hands, which allows the user to interact with the system in a natural way. An image is processed and converted to a Eigen vector that will be compared with the Eigen vectors of a training set mean of signs. The most i...
متن کاملContinuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
This work presents a statistical recognition approach performing large vocabulary continuous sign language recognition across different signers. Automatic sign language recognition is currently evolving from artificial lab-generated data to ’real-life’ data. To the best of our knowledge, this is the first time system design on a large data set with true focus on real-life applicability is thoro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2010
ISSN: 0162-8828
DOI: 10.1109/tpami.2009.26