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http://hdl.handle.net/10553/46783
| Título: | Particle swarms as video sequence inhabitants for object tracking in computer vision | Autores/as: | Antón-Canalís, Luis Hernández Tejera, Mario Sánchez-Nielsen, Elena |
Clasificación UNESCO: | 1203 Ciencia de los ordenadores | Fecha de publicación: | 2006 | Proyectos: | Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion | Conferencia: | 6th International Conference on Intelligent Systems Design and Applications (ISDA 2006) | Resumen: | A solution based on a swarm intelligence metaphor with a prey-predator scheme is proposed for real time object tracking in video sequences, which is a basic process in multiple computer vision tasks. Swarm predator particles fly on a Boid-like fashion over image prey pixels, using combined image features to guide individual movement rules. Object tracking emerges from interaction between predator particles and their environment. The paper includes method's description and experimental evaluations on video streams that illustrate the efficiency of swarm based methods in different vision tasks. | URI: | http://hdl.handle.net/10553/46783 | ISBN: | 0-7695-2528-8 | ISSN: | 2164-7143 | DOI: | 10.1109/ISDA.2006.253905 | Fuente: | Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications, v. 2 (4021732), p. 604-609 |
| Colección: | Actas de congresos |
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