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基于双目标定的独居老人摔倒检测算法 被引量:5

Algorithm for falling down detection of solitary elderly person based on binocular vision calibration
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摘要 独居老人摔倒已成为一个备受关注的问题。为快速有效获取摔倒信息从而使老人得到及时救助,提出一种基于双目标定的独居老人摔倒检测算法。该算法通过色彩不变性分割前景目标(老人),采用双目视觉标定计算人体在三维坐标中高度作为特征信息,能够有效区分易混淆动作,防止误判,提高检测准确率。实验结果表明:该算法易于实现,具有较好的鲁棒性和实时性。 Failing down of solitary elderly person has become a concerned problem. In order to get information of falling down of elderly person quickly and efficiently, a method for falling down detection of solitary elderly person based on binocular vision calibration is proposed. The algorithm segments foreground objects (elderly person) by color variation;uses binocular vision calibration to calculate person height in 3 D coordinate as feature information, which can effectively distinguish confused behavior, prevent misjudgments and increase accuracy of detection. Experimental results show that the proposed algorithm is easy to implement with good robustness and real-time.
出处 《传感器与微系统》 CSCD 北大核心 2014年第10期100-103,共4页 Transducer and Microsystem Technologies
关键词 双目标定 色彩不变性 摔倒检测 binocular vision calibration color invariant falling down detection
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参考文献12

  • 1中国科学院离休干部工作局.国外如何解决人口老龄化问题[EB/OL].[2009—04—27].http:∥www.lt.cas.cn/kykw/kyjq/200905/t20090520_203512.html.
  • 2汪颖翔,刘芹,芦珊.传感器在检测老年人摔倒中的应用[J].魅力中国,2011(5):396-396. 被引量:3
  • 3王荣,章韵,陈建新.基于三轴加速度传感器的人体跌倒检测系统设计与实现[J].计算机应用,2012,32(5):1450-1452. 被引量:75
  • 4Porteus J,Brownsell S J.Exploring technologies for independent living for older people[R].A report on the Anchor Trust/BT Telecare Research Project,Anchor Trust,2000.
  • 5Geusebroek J M,Van den Boomgaard R,Smeulders A W M,et al.Color Invariance[J].IEEE Transactions on,Pattern Analysis and Machine Intelligence,2001,23(12):1338-1350.
  • 6Benezeth Y,Jodoin P M,Emile B,et al.Comparative study of background subtraction algorithms[J].Journal of Electronic Imaging,2010,19(3):033003—03—033003—12.
  • 7Florack L M J,Ter Haar Romeny B M,Koenderink J J,et al.Scale and the differential structure of images[J].Image and Vision Computing,1992,10(6):376-388.
  • 8Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
  • 9王彦霞,王震洲,刘教民.基于双目立体视觉的三维建模算法[J].河北科技大学学报,2008,29(3):219-222. 被引量:6
  • 10Yamato J,Ohya J,Ishii K.Recognizing human action in timesequential images using hidden Markov model[C]//Recognitions of Computer Vision and Pattern Proceeding CVPR’92.,1992IEEE Computer Society Conference on.IEEE,1992:379-385.

二级参考文献23

  • 1刘教民,赵小英,魏世泽,孙壮志.TMS320C40实现图象高速采集与处理系统[J].河北科技大学学报,2001,22(3):1-5. 被引量:16
  • 2刘教民,李新福.开关电弧图像增强算法研究[J].电工技术学报,2005,20(5):20-23. 被引量:10
  • 3张广军.计算机视觉[M].北京:科学出版社,2005.
  • 4ZHANG Z, PAN Z. Three-dimensinal measurement with use of a single camera[J]. Appl Optics,2004,43(12) ,2 449-2 455.
  • 5EIAN J,POPPELE R E. A single-camera method for three-dimensional video imaging[J]. J of Neuroscience Methods, 2002,120(1) : 65-83.
  • 6中华人民共和国卫生部.老年人跌倒干预技术指南.
  • 7VAIDEHI V,G ANAPATHY K,MOHANK. Video based automatic fall detection in indoor environment[A].Washington,DC:IEEE Computer Society,2011.1016-1020.
  • 8DIRACO G,LEONE A,SICILIANO P. An active vision system for fall detection and posture recognition in elderly healthcare[A].Washington,DC:IEEE Computer Society,2010.1536-1541.
  • 9DINH C,STRUCK M. A new real-time fall detection approach using fuzzy logic and a neural network[A].IEEE,2009.57-60.
  • 10CHEN Y-T,LIN Y-C,FANG W-H. A hybrid human fall detection scheme[A].Washington,IC:IEEE Computer Society,2010.3485-3488.

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