Name
Title | ||
|---|---|---|
Silhouette-Based method for object classification and human action recognition in video |
Abstract | ||
|---|---|---|
In this paper we present an instance based machine learning algorithm and system for real-time object classification and human action recognition which can help to build intelligent surveillance systems. The proposed method makes use of object silhouettes to classify objects and actions of humans present in a scene monitored by a stationary camera. An adaptive background subtract-tion model is used for object segmentation. Template matching based supervised learning method is adopted to classify objects into classes like human, human group and vehicle; and human actions into predefined classes like walking, boxing and kicking by making use of object silhouettes. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11754336_7 | ECCV Workshop on HCI |
Keywords | Field | DocType |
real-time object classification,object segmentation,human action,intelligent surveillance system,human group,silhouette-based method,adaptive background subtract-tion model,predefined class,human action recognition,object silhouette,machine learning,supervised learning,template matching,background subtraction | Template matching,Computer vision,3D single-object recognition,Pattern recognition,Object-oriented programming,Silhouette,Segmentation,Computer science,Supervised learning,Artificial intelligence,User interface,Pattern matching | Conference |
Volume | ISSN | ISBN |
3979 | 0302-9743 | 3-540-34202-8 |
Citations | PageRank | References |
32 | 1.46 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiğithan Dedeoğlu | 1 | 191 | 12.73 |
| B. Uğur Töreyin | 2 | 187 | 13.00 |
| Uğur Güdükbay | 3 | 372 | 27.60 |
| A. Enis Çetin | 4 | 871 | 118.56 |