Name
Abstract | ||
|---|---|---|
A novel image-registration method is presented which is applicable to multi-camera systems viewing human subjects in motion. The method is suitable for use with indoor or outdoor surveillance scenes. The paper summarizes an efficient walk-detection and biometric method for extraction of image characteristics which enables the walk properties of the viewed subjects to be used to establish corresponding image-points for the purpose of image-registration between cameras. The leading leg of the walking subject is a good feature to match, and the presented method can identify this from two successive walk-steps (one walk cycle). Using this approach, the described method can detect a sufficient number of corresponding points for the estimation of correspondence between views from two cameras. An evaluation study has demonstrated the method’s feasibility in the context of an actual indoor real-time surveillance system. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11558484_5 | ACIVS |
Keywords | Field | DocType |
multiple-view registration,walk property,outdoor surveillance scene,actual indoor real-time surveillance,biometric method,corresponding image-points,evaluation study,walk cycle,human motion biometrics,novel image-registration method,efficient walk-detection,corresponding point,real time,image registration | Point estimation,Computer vision,Pattern recognition,RANSAC,Computer science,Image processing,Real-time operating system,Human motion,Artificial intelligence,Biometrics,Image registration | Conference |
Volume | ISSN | ISBN |
3708 | 0302-9743 | 3-540-29032-X |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| László Havasi | 1 | 16 | 5.34 |
| Zoltán Szlávik | 2 | 116 | 21.40 |
| Sziranyi, T. | 3 | 395 | 44.76 |