An Embedded Parallel Face Detection System Based on Multicore Processor

摘要：

　　This paper presents a parallel face detection system based on multi-core processors,of which the hardware part uses the ZYNQ chips and multi-core processors and the software part includes the input and output of the image data and parallel detection.The part of parallel detection uses the cascade classifier based on MB-LBP feature and Gentle Adaboost algorithm.This system is aimed for a low-power multicore processor that is well suited to embedded system.The experimental results indicate that the parallel face detection system reduces the running time of the algorithm comparing with that on the ARM platform.Moreover,our system has outstanding performance and very high accuracy.

关键词： face detection LBP AdaBoost multicore parallel computing

作者: Zheng Wang Fang Gao

作者单位: Beijing Engineering Research Center for IoT Software and Systems;School of Software Engineering,Beijing University of Technology,Beijing,China Beijing,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 2684-2688

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）