{"title":"Hardware/software co-design for accelerating human action recognition","authors":"M. Alhammami, Ooi Chee Pun, T. Haw","doi":"10.1109/CSUDET.2015.7446226","DOIUrl":null,"url":null,"abstract":"Action recognition is gaining more importance and attention due to its wide applications. But the need of implementing it in real time is essential. This paper suggests a hardware/software co-design which accelerates the whole recognizing function. In this setup we are using Microsoft© Kinect device, Intel© Atom system and FPGA based SoC device from Altera©. The initial experiments show that it is possible to recognize actions in real time using the proposed setup by processing the skeleton data. This promising result would encourage designers to take the step forward of using mixed CPU and FPGA based SoC platform to increase the performance of image and video processing operations especially in recognition systems.","PeriodicalId":330138,"journal":{"name":"2015 IEEE Conference on Sustainable Utilization And Development In Engineering and Technology (CSUDET)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Conference on Sustainable Utilization And Development In Engineering and Technology (CSUDET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSUDET.2015.7446226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
加速人类动作识别的软硬件协同设计
动作识别由于其广泛的应用,越来越受到人们的重视和重视。但是,实时实施它的必要性是必不可少的。本文提出了一种硬件/软件协同设计的方法,以加快整个识别功能。在这个设置中,我们使用微软©Kinect设备,英特尔©Atom系统和Altera©基于FPGA的SoC设备。初步实验表明,通过对骨架数据的处理,可以实现对动作的实时识别。这一有希望的结果将鼓励设计人员向前迈进一步,使用混合CPU和FPGA为基础的SoC平台,以提高图像和视频处理操作的性能,特别是在识别系统。
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