Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel method for scene recognition using video images through analysis of human activities. We aim at recognizing three kinds of things such as human activities, objects and environment. In the previous method, locations and orientations of objects are estimated using shape models, which are often claimed to be dependent upon individual scene. Instead of shape models, we employ conceptual knowledge about function and/or usage of objects as well as that about human actions. In our method, the location and usage of objects can be identified by observing interaction of human with them. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICPR.2004.803 | ICPR (3) |
Keywords | Field | DocType |
scene recognition,video image,conceptual knowledge,shape model,novel method,human action,human activity,human actions,previous method,individual scene,image recognition,image segmentation,object recognition | Computer vision,3D single-object recognition,Intelligent character recognition,Pattern recognition,Computer science,Image processing,Image segmentation,Video tracking,Sketch recognition,Artificial intelligence,Cognitive neuroscience of visual object recognition | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2128-2 | 13 |
PageRank | References | Authors |
0.98 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mirai Higuchi | 1 | 19 | 1.99 |
| Shigeki Aoki | 2 | 31 | 6.12 |
| Atsuhiro Kojima | 3 | 178 | 16.61 |
| Kunio Fukunaga | 4 | 206 | 28.55 |