| Revue: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000382838 |
| ISSN: | 1870-9044 |
| Autores: | Santos, Diego G.S1 Neto, Rodrigo C1 Fernandes, Bruno J.T1 Bezerra, Byron L.D1 |
| Instituciones: | 1Universidade de Pernambuco, Recife, Pernambuco. Brasil |
| Año: | 2014 |
| Periodo: | Jul-Dic |
| Número: | 50 |
| Paginación: | 13-19 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Dynamic gesture recognition has been studied actually for it big application in several areas such as virtual reality, games and sign language. But some problems have to be solved in computer applications, such as response time and classification rate, which directly affect the real-time usage. This paper proposes a novel algorithm called Convex Invariant Position Based on Ransac which improved the good results in dynamic gesture recognition problem. The proposed method is combined with a adapted PSO variation to reduce features and a HMM and three DTW variations as classifiers |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial, Visión por computadora, Reconocimiento de gestos, Deformación dinámica de tiempo, Modelos ocultos de Markov |
| Keyword: | Computer science, Artificial intelligence, Computer vision, Gesture recognition, Dynamic time warping, Hidden Markov models |
| Texte intégral: | Texto completo (Ver PDF) |
