Name
Abstract | ||
|---|---|---|
A novel system for face detection in images and video sequences is presented. The system incorporates a two-stage linear discriminant and nonlinear support vector machine classifier coupled with a front-end biologically-inspired search scheme. Results based on the CMU test set demonstrate that by using such a classifier arrangement with a non-exhaustive searching scheme, a significant reduction in computational complexity is achieved while maintaining comparable accuracy to other leading face detection systems. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICASSP.2005.1416341 | 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING |
Keywords | DocType | ISSN |
computational complexity,testing,face detection,detectors,neural networks,risk management,image classification,front end,face recognition,selective attention,support vector machines,exhaustive search,support vector machine | Conference | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven R. Jones | 1 | 0 | 0.34 |
| David W. Capson | 2 | 207 | 29.98 |