2011 Seventh International Conference on Intelligent Environments最新文献_第7页

A Monocular View-Invariant Fall Detection System for the Elderly in Assisted Home Environments 辅助家庭环境中老年人的单目不变性跌倒检测系统

2011 Seventh International Conference on Intelligent Environments Pub Date : 2011-07-25 DOI: 10.1109/IE.2011.54

Z. Htike, S. Egerton, Y. Kuang

{"title":"A Monocular View-Invariant Fall Detection System for the Elderly in Assisted Home Environments","authors":"Z. Htike, S. Egerton, Y. Kuang","doi":"10.1109/IE.2011.54","DOIUrl":"https://doi.org/10.1109/IE.2011.54","url":null,"abstract":"There is an increasing interest in real-time fall detection systems for the elderly in developed countries because more and more elderly are staying alone. There is a great demand for such fall detections systems in the smart home industry and the healthcare industry. Various fall detection approaches have been proposed recently by researchers. However, the majority of the proposed approaches require sensors to be attached on the subjects under surveillance. Sensors are intrusive and restrictive. Moreover, critical situations can often go undetected if the elderly forget to wear those vital sensors. As a result, researchers have recently gained interest in computer vision based solutions. Viewpoint invariance is a very important issue in computer vision because camera position is arbitrary and the subjects are free to move around in the environment. This paper presents a vision-based framework that can detect falls using a single camera, irrespective of the viewpoint of the camera with respect to the subjects. The proposed system makes use of invariant pose models which perform view-invariant human pose recognition. An ensemble of pose models performs inference on each video frame. Each pose model employs an expectation-maximization algorithm to estimate the probability that the given frame contains the corresponding pose. Over a sequence of frames, all the pose models collectively produce a multivariate time series. The system detects falls by analyzing the time series. We utilize the fuzzy hidden Markov model (FHMM) to detect falls. We have performed some experiments on two datasets and the results are found to be promising.","PeriodicalId":207140,"journal":{"name":"2011 Seventh International Conference on Intelligent Environments","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132489242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

A Framework for Multisensory Intelligent Monitoring and Interpretation of Behaviors through Information Fusion 基于信息融合的多感官智能监测与行为解释框架

2011 Seventh International Conference on Intelligent Environments Pub Date : 2011-07-25 DOI: 10.1109/IE.2011.20

J. C. Castillo, A. Fernández-Caballero, María T. López

引用次数: 4

Generating Virtual 3D Model of Urban Street Facades by Fusing Terrestrial Multi-source Data 融合地面多源数据生成城市街道立面虚拟三维模型

2011 Seventh International Conference on Intelligent Environments Pub Date : 2011-07-25 DOI: 10.1109/IE.2011.50

K. Hammoudi, F. Dornaika, N. Paparoditis

{"title":"Generating Virtual 3D Model of Urban Street Facades by Fusing Terrestrial Multi-source Data","authors":"K. Hammoudi, F. Dornaika, N. Paparoditis","doi":"10.1109/IE.2011.50","DOIUrl":"https://doi.org/10.1109/IE.2011.50","url":null,"abstract":"This paper presents a pipeline in progress for generating virtual 3D model of urban street facades by fusing cadastral map with terrestrial images and laser data. A Mobile Mapping System (MMS) has been employed to massively gather georeferenced images and laser raw data at street level. Firstly, we describe the context as well as our motivation that aims at enriching the quality of the virtual urban environments. Secondly, we briefly present advanced works on 3D street facades mapping by merging the cadastral map and laser data. These works addressed the street facade plane estimation, their delimitation, and their texturing. Thirdly, we present a novel extension we are working on for extracting 3D detailed facade limits by fusing the cadastral map with laser and image data. This extension is essentially focused to the detection of fine 2D skylines from acquired high resolution facade images and to the estimation of the detailed 3D facade top boundaries. The presented work deals with datasets acquired in the city of Paris under real conditions. Advances and results show the potential of the envisaged pipeline for applications such as the visualization and the large scale navigation in virtual 3D street model.","PeriodicalId":207140,"journal":{"name":"2011 Seventh International Conference on Intelligent Environments","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Urban Ambient Environment and Sustainability 城市环境与可持续性

2011 Seventh International Conference on Intelligent Environments Pub Date : 2011-07-25 DOI: 10.1109/IE.2011.44

S. Tzimopoulou

引用次数: 0