Fundamentals of speech recognition
Fundamentals of speech recognition
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Data Association Methods for Tracking Complex Visual Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical color models with application to skin detection
International Journal of Computer Vision
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
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
Computer Vision for Television and Games
RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Real-time American Sign Language recognition from video using hidden Markov models
ISCV '95 Proceedings of the International Symposium on Computer Vision
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)
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Automatic 2D Hand Tracking in Video Sequences
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Tracking, Analysis, and Recognition of Human Gestures in Video
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Translation and scale-invariant gesture recognition in complex scenes
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Welfare interface implementation using multiple facial features tracking for the disabled people
Pattern Recognition Letters
Thai Sign Language Translation Using Fuzzy C-Means and Scale Invariant Feature Transform
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Coupled grouping and matching for sign and gesture recognition
Computer Vision and Image Understanding
Towards automated large vocabulary gesture search
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
A Similarity Measure for Vision-Based Sign Recognition
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
A database-based framework for gesture recognition
Personal and Ubiquitous Computing
Comparing gesture recognition accuracy using color and depth information
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Thai sign language translation using Scale Invariant Feature Transform and Hidden Markov Models
Pattern Recognition Letters
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A method for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this method is a dynamic space-time warping (DSTW) algorithm, that aligns a pair of query and model gestures in both space and time. For every frame of the query sequence, feature detectors generate multiple hand region candidates. Dynamic programming is then used to compute both a global matching cost, which is used to recognize the query gesture, and a warping path, which aligns the query and model sequences in time, and also finds the best hand candidate region in every query frame. The proposed framework includes translation invariant recognition of gestures, a desirable property for many HCI systems. The performance of the approach is evaluated on a dataset of hand signed digits gestured by people wearing short sleeve shirts, in front of a background containing other non-hand skin-colored objects. The algorithm simultaneously localizes the gesturing hand and recognizes the hand-signed digit. Although DSTW is illustrated in a gesture recognition setting, the proposed algorithm is a general method for matching time series, that allows for multiple candidate feature vectors to be extracted at each time step.