6533b826fe1ef96bd1285009
RESEARCH PRODUCT
Face tracking and recognition: from algorithm to implementation
Michel PaindavoineFan YangNicolas Malasnesubject
Artificial neural networkFacial motion captureComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCodebookTracking (particle physics)Facial recognition systemObject-class detectionVideo trackingComputer visionArtificial intelligenceFace detectionbusinessdescription
This paper describes a system capable of realizing a face detection and tracking in video sequences. In developing this system, we have used a RBF neural network to locate and categorize faces of different dimensions. The face tracker can be applied to a video communication system which allows the users to move freely in front of the camera while communicating. The system works at several stages. At first, we extract useful parameters by a low-pass filtering to compress data and we compose our codebook vectors. Then, the RBF neural network realizes a face detection and tracking on a specific board.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-12-01 | SPIE Proceedings |