使用卷积神经网络进行动作识别的骨骼数据的图像表示

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2019-06-05 DOI:10.1145/3316782.3322740

I. Vernikos, Eirini Mathe, Antonios Papadakis, E. Spyrou, Phivos Mylonas

{"title":"使用卷积神经网络进行动作识别的骨骼数据的图像表示","authors":"I. Vernikos, Eirini Mathe, Antonios Papadakis, E. Spyrou, Phivos Mylonas","doi":"10.1145/3316782.3322740","DOIUrl":null,"url":null,"abstract":"In this paper we present preliminary results of an approach for understanding human actions, based on a novel 2D image representation for 3D skeletal data. More specifically, motion information for human skeletal joints is transformed to a pseudo-colored image. A Convolutional Neural Network is then used for classification. Our approach is evaluated for actions that may be used in an ambient assisted living scenario.","PeriodicalId":264425,"journal":{"name":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"An image representation of skeletal data for action recognition using convolutional neural networks\",\"authors\":\"I. Vernikos, Eirini Mathe, Antonios Papadakis, E. Spyrou, Phivos Mylonas\",\"doi\":\"10.1145/3316782.3322740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present preliminary results of an approach for understanding human actions, based on a novel 2D image representation for 3D skeletal data. More specifically, motion information for human skeletal joints is transformed to a pseudo-colored image. A Convolutional Neural Network is then used for classification. Our approach is evaluated for actions that may be used in an ambient assisted living scenario.\",\"PeriodicalId\":264425,\"journal\":{\"name\":\"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3316782.3322740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3316782.3322740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

在本文中，我们提出了一种基于3D骨骼数据的新型2D图像表示的理解人类行为方法的初步结果。更具体地说，将人体骨骼关节的运动信息转换为伪彩色图像。然后使用卷积神经网络进行分类。我们的方法被评估为可能在环境辅助生活场景中使用的行动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An image representation of skeletal data for action recognition using convolutional neural networks

In this paper we present preliminary results of an approach for understanding human actions, based on a novel 2D image representation for 3D skeletal data. More specifically, motion information for human skeletal joints is transformed to a pseudo-colored image. A Convolutional Neural Network is then used for classification. Our approach is evaluated for actions that may be used in an ambient assisted living scenario.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

自引率

0.00%

发文量