6533b871fe1ef96bd12d1831

RESEARCH PRODUCT

<title>Real-time face tracking and recognition for video conferencing</title>

Michel PaindavoineFan YangNicolas Malasne

subject

Artificial neural networkComputer scienceFacial motion capturebusiness.industryImage processingcomputer.software_genreFacial recognition systemVideoconferencingRobustness (computer science)Computer graphics (images)Video trackingComputer visionArtificial intelligencebusinessReal-time operating systemcomputer

description

This paper describes a system of vision in real time, allowing to detect automatically the faces presence, to localize and to follow them in video sequences. We verify also the faces identities. These processes are based by combining technique of image processing and methods of neural networks. The tracking is realized with a strategy of prediction-verification using the dynamic information of the detection. The system has been evaluated quantitatively on 8 video sequences. The robustness of the method has been tested on various lightings images. We present also the analysis of complexity of this algorithm in order to realize an implementation in real time on a FPGA based architecture.

https://doi.org/10.1117/12.448668