Fundamentals of speech recognition
Fundamentals of speech recognition
Task-Specific Gesture Analysis in Real-Time Using Interpolated Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-based hand sign recognition from intensity image sequences
Computer Vision and Image Understanding
Towards an Automatic Sign Language Recognition System Using Subunits
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Rotation Invariant Neural Network-Based Face Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
View-Based Interpretation of Real-Time Optical Flow for Gesture Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Recognizing Temporal Trajectories Using the Condensation Algorithm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A Continuous Chinese Sign Language Recognition System
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
An Approach Based on Phonemes to Large Vocabulary Chinese Sign Language Recognition
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
A PCA/MDA Scheme for Hand Posture Recognition
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Dynamic Time Warping for Off-Line Recognition of a Small Gesture Vocabulary
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Simultaneous Localization and Recognition of Dynamic Hand Gestures
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sign Recognition using Depth Image Streams
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Real Time Large Vocabulary Continuous Sign Language Recognition Based on OP/Viterbi Algorithm
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Transition movement models for large vocabulary continuous sign language recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A system for large vocabulary sign search
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Toward a 3D body part detection video dataset and hand tracking benchmark
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
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This paper describes work towards designing a computer vision system for helping users look up the meaning of a sign. Sign lookup is treated as a video database retrieval problem. A video database is utilized that contains one or more video examples for each sign, for a large number of signs (close to 1000 in our current experiments). The emphasis of this paper is on evaluating the trade-offs between a non-automated approach, where the user manually specifies hand locations in the input video, and a fully automated approach, where hand locations are determined using a computer vision module, thus introducing inaccuracies into the sign retrieval process. We experimentally evaluate both approaches and present their respective advantages and disadvantages.