Name
Abstract | ||
|---|---|---|
The identification of human basic actions plays an important role for recognizing human activities in complex scene. In this paper we propose an approach for automatic human action recognition. The parametric model of human is extracted from image sequences using motion/texture based human detection and tracking. Action features from its model are carefully defined into the action interaction representation and used for the recognizing process. Performance of proposed method is tested experimentally using datasets under indoor environments. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.853223 | Proceedings of SPIE |
Keywords | Field | DocType |
human action recognition,activity recognition,human modeling,video surveillance | Computer vision,Parametric model,Activity recognition,Computer science,Action recognition,Image processing,Digital image,Artificial intelligence,Motion analysis | Conference |
Volume | ISSN | Citations |
7546 | 0277-786X | 3 |
PageRank | References | Authors |
0.43 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nattapon Noorit | 1 | 5 | 0.80 |
| Nikom Suvonvorn | 2 | 19 | 3.50 |
| montri karnchanadecha | 3 | 3 | 0.43 |