Name
Abstract | ||
|---|---|---|
Abstract: IntroductionOne of the main goals of computer vision research is to develop methods for recognition of objects and events. Asubclass of these problems is the recognition of humans and their activities. In this chapter, we summarize someof the recent methods developed for human recognition using face and gait.Gait recognition is related to the broader problem of human motion modeling, which has very important implicationsfor different areas like surveillance, medical diagnosis,... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CVPR.2007.383523 | CVPR |
Keywords | Field | DocType |
cameras,face recognition,gait analysis,image fusion,probability,video signal processing,visual databases,NIST database,camera,face fusion,face recognition,gait fusion,human identification,planar approximation,probabilistic recognition,view-invariant gait recognition algorithm,visual-hull approach | Facial recognition system,Computer vision,Gait,Pattern recognition,Image fusion,Computer science,Automation,NIST,Gait analysis,Artificial intelligence,Probabilistic logic,Nist database | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1063-6919 |
Citations | PageRank | References |
12 | 0.61 | 58 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chellappa, R. | 1 | 13050 | 1440.56 |
| Roy-Chowdhury, A.K. | 2 | 21 | 1.33 |
| Amit Kale | 3 | 708 | 48.47 |