Name
Title | ||
|---|---|---|
Accumulative computation method for motion features extraction in active selective visual attention |
Abstract | ||
|---|---|---|
A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim of this paper is to highlight the importance of the accumulative computation method for motion features extraction in the active selective visual attention model proposed. We calculate motion presence and velocity at each pixel of the input image by means of accumulative computation. The paper shows an example of how to use motion features to enhance scene segmentation in this active visual attention method. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30572-9_16 | WAPCV |
Keywords | Field | DocType |
active visual attention,accumulative computation,motion presence,accumulative computation method,motion feature,active selective visual attention,new method,method extracts motion,active visual attention method,indefinite image sequence,feature extraction | Computer vision,Computer science,Visual attention,Pixel,Artificial intelligence,Scene segmentation,Computation | Conference |
Volume | ISSN | ISBN |
3368 | 0302-9743 | 3-540-24421-2 |
Citations | PageRank | References |
6 | 0.49 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Fernández-Caballero | 1 | 1317 | 117.99 |
| María T. López | 2 | 321 | 28.80 |
| Miguel A. Fernández | 3 | 380 | 31.84 |
| José Mira | 4 | 205 | 12.90 |
| Ana E. Delgado | 5 | 243 | 16.85 |
| José M. López-Valles | 6 | 33 | 3.55 |