A learning-based prediction-and-verification segmentation scheme for hand sign image sequence
| Autor: | John J. Weng, Y. Cui |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Scheme (programming language)
Sequence American Sign Language Computer science business.industry Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image segmentation language.human_language Computational Theory and Mathematics Artificial Intelligence Pattern recognition (psychology) language Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business computer Software Sign (mathematics) computer.programming_language |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 21:798-804 |
| ISSN: | 0162-8828 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|