In this paper we describe results of a modified Particle Swarm Optimization (PSO) algorithm which has been applied to two image analysis tasks. In the former, accurate region-based segmentation is obtained by analyzing the cumulative results of several runs of the algorithm. In the latter, the fast-convergence properties of the algorithm are used to accurately locate and track an object of interest in real time.
Particle Swarm Optimization for object detection and segmentation / Cagnoni, Stefano; Mordonini, Monica; Sartori, J.. - STAMPA. - 4448:(2007), pp. 241-250. (Intervento presentato al convegno EvoWorkshops 2007 tenutosi a Valencia nel Aprile 2007) [10.1007/978-3-540-71805-5_27].
Particle Swarm Optimization for object detection and segmentation
CAGNONI, Stefano;MORDONINI, Monica;
2007-01-01
Abstract
In this paper we describe results of a modified Particle Swarm Optimization (PSO) algorithm which has been applied to two image analysis tasks. In the former, accurate region-based segmentation is obtained by analyzing the cumulative results of several runs of the algorithm. In the latter, the fast-convergence properties of the algorithm are used to accurately locate and track an object of interest in real time.| File | Dimensione | Formato | |
|---|---|---|---|
|
44480241.pdf
non disponibili
Tipologia:
Documento in Post-print
Licenza:
Creative commons
Dimensione
3.47 MB
Formato
Adobe PDF
|
3.47 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
