System Architecture for Real-Time Face Detection on Analog Video Camera

This paper proposes a novel hardware architecture for real-time face detection, which is efficient and suitable for embedded systems. The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply face detection to a low-cost FPGA that can be applied t...

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Bibliographic Details
Main Authors: Mooseop Kim, Deokgyu Lee, Ki-Young Kim
Format: Article
Language:English
Published: SAGE Publishing 2015-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/251386