A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf
.
EFFICIENT IDENTIFICATION OF FACES IN VIDEO STREAMS USING LOW-POWER MULTI-CORE DEVICES
[chapter]
2015
Handbook of Pattern Recognition and Computer Vision
The recognition of individuals based on their facial traits provides a powerful alternative to traditional methods for access control in many mobile and distributed applications. In these cases, the fuzzy ARTMAP neural network classifier is well adapted for fast and efficient matching of faces captured in video streams against the model of individuals enrolled to the access control system. In this paper, fuzzy ARTMAP networks co-jointly optimized for accuracy and efficiency are implemented and
doi:10.1142/9789814656535_0023
fatcat:ncorik52mnblli4cko5cllhwya