Name
Abstract | ||
|---|---|---|
Face re-identification is an essential task in automatic video surveillance where the identity of the person is known previously. It aims to verify if other cameras have observed a specific face detected by a camera. However, this is a challenging task because of the reduced resolution, and changes in lighting and background available in surveillance video sequences. Furthermore, the face to get re-identified suffers changes in appearance due to expression, pose, and scale. Algorithms need robust descriptors to perform re-identification under these challenging conditions. Among various types of approaches available, correlation filters have properties that can be exploited to achieve a successful re-identification. Our proposal makes use of this approach to exploit both the shape and content of more representative facial images captured by a camera in a field of view. The resulting correlation filters can characterize the face of a person in a field of view; they are good at discriminating faces of different people, tolerant to variable illumination and slight variations in the rotation (in/out of plane) and scale. Further, they allow identifying a person from the first time that has appeared in the camera network. Matching the correlation filters generated in the field of views allows establishing a correspondence between the faces of the same person viewed by different cameras. These results show that facial re-identification under real-world surveillance conditions and biometric context can be successfully performed using correlation filters adequately designed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-21077-9_16 | PATTERN RECOGNITION, MCPR 2019 |
Keywords | Field | DocType |
Face re-identification and recognition, Biometrics, Correlation filters | Field of view,Computer vision,Computer science,Camera network,Exploit,Correlation,Artificial intelligence,Biometrics | Conference |
Volume | ISSN | Citations |
11524 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Everardo Santiago Ramírez | 1 | 0 | 0.34 |
| J. C. Acosta-Guadarrama | 2 | 0 | 0.34 |
| José Manuel Mejía Muñoz | 3 | 4 | 2.20 |
| Josué Domínguez-Guerrero | 4 | 0 | 0.34 |
| J. A. Gonzalez-Fraga | 5 | 3 | 2.09 |