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Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
A state-based technique for the summarization and recognition of gesture
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Learning-based hand sign recognition using SHOSLIF-M
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
2D object segmentation from fovea images based on eigen-subspace learning
ISCV '95 Proceedings of the International Symposium on Computer Vision
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and video for hearing impaired people
Journal on Image and Video Processing
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Human-Computer interaction system with artificial neural network using motion tracker and data glove
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Vision-Based recognition of hand shapes in taiwanese sign language
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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We present a prediction-and-verification segmentation scheme using attention images from multiple fixations. A major advantage of this scheme is that it can handle a large number of different deformable objects presented in complex backgrounds. The scheme is also relatively efficient. The system was tested to segment hands in sequences of intensity images, where each sequence represents a hand sign in American Sign Language. The experimental result showed a 95 percent correct segmentation rate with a 3 percent false rejection rate.