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Volumn 10, Issue , 2013, Pages

Local geometrically enriched mixtures for stable and robust human tracking in detecting falls

Author keywords

Background Modelling; Constrained Shape Time Motion Analysis; Human Tracking; Local Geometry; Visual Fall Detection

Indexed keywords

BACKGROUND MODELLING; FALL DETECTION; HUMAN TRACKING; LOCAL GEOMETRY; MOTION ANALYSIS;

EID: 84876866547     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: 10.5772/54049     Document Type: Article
Times cited : (9)

References (30)
  • 1
    • 0000752922 scopus 로고    scopus 로고
    • Global and regional descriptive epidemiology of disability: Incidence, prevalence, health expectancies and years lived with disability
    • Murray C.J.L and Lopez A.D (1996) Global and regional descriptive epidemiology of disability: Incidence, prevalence, health expectancies and years lived with disability. Global Burden Dis., 1:201-246.
    • (1996) Global Burden Dis. , vol.1 , pp. 201-246
    • Murray, C.J.L.1    Lopez, A.D.2
  • 2
    • 0035189769 scopus 로고    scopus 로고
    • Epidemiology of falls
    • Masud T, and Morris R.O (2001) Epidemiology of falls. Age Ageing, 30:3-7.
    • (2001) Age Ageing , vol.30 , pp. 3-7
    • Masud, T.1    Morris, R.O.2
  • 3
    • 55149083712 scopus 로고    scopus 로고
    • A real-time multiview fall detection system: A lhmm-based approach
    • Thome N, Miguet S, Ambellouis S (2008) A real-time multiview fall detection system: A LHMM-based approach. IEEE Trans. on CSVT, 18:1522-1532.
    • (2008) IEEE Trans. on CSVT , vol.18 , pp. 1522-1532
    • Thome, N.1    Miguet, S.2    Ambellouis, S.3
  • 4
    • 38149045656 scopus 로고    scopus 로고
    • A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor
    • Bourke K and Lyons G.M (2008) A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Med. Eng. Phys., 30:89-90.
    • (2008) Med. Eng. Phys. , vol.30 , pp. 89-90
    • Bourke, K.1    Lyons, G.M.2
  • 5
    • 79551563974 scopus 로고    scopus 로고
    • Detection of cognitive injured body region using multiple triaxial accelerometers for elderly falling
    • Lai C.F, Chang S.Y, Chao H.C, Huang Y.M (2011) Detection of Cognitive Injured Body Region Using Multiple Triaxial Accelerometers for Elderly Falling. IEEE Sensors J., 11:763-770.
    • (2011) IEEE Sensors J. , vol.11 , pp. 763-770
    • Lai, C.F.1    Chang, S.Y.2    Chao, H.C.3    Huang, Y.M.4
  • 8
    • 61849129577 scopus 로고    scopus 로고
    • A footswitch evaluation of the gait of elderly fallers with and without a diagnosis of orthostatic hypotension and healthy elderly controls
    • Barrett A, O'Connor M, Culhane K, Finucane A.M, Olaighin G, Lyons D (2008) A footswitch evaluation of the gait of elderly fallers with and without a diagnosis of orthostatic hypotension and healthy elderly controls. 30th Annu. Int. Conf. IEEE EMBS, 5101-5104p.
    • (2008) 30th Annu. Int. Conf. IEEE EMBS
    • Barrett, A.1    O'Connor, M.2    Culhane, K.3    Finucane, A.M.4    Olaighin, G.5    Lyons, D.6
  • 12
    • 66349113106 scopus 로고    scopus 로고
    • Compressed-domain fall incident detection for intelligent home surveillance
    • Lin C.W, Ling Z.H, Chang Y.C, Kuo C. J (2005) Compressed-domain Fall Incident Detection for Intelligent Home Surveillance. IEEE Inter. ISCAS, 3781-3784p.
    • (2005) IEEE Inter. ISCAS
    • Lin, C.W.1    Ling, Z.H.2    Chang, Y.C.3    Kuo, C.J.4
  • 13
    • 78149477274 scopus 로고    scopus 로고
    • Slip and fall events detection by analyzing the integrated spatiotemporal energy map
    • (ICPR)
    • Liao T, Huang C.L (2010) Slip and Fall Events Detection by Analyzing the Integrated Spatiotemporal Energy Map. 20th International Conference on Pattern Recogn. (ICPR), 1718-1721p.
    • (2010) 20th International Conference on Pattern Recogn
    • Liao, T.1    Huang, C.L.2
  • 16
    • 79952467031 scopus 로고    scopus 로고
    • Emergency fall incidents detection in assisted living environments utilizing motion, sound, and visual perceptual components
    • Doukas C.N, Maglogiannis I (2011) Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components. IEEE Trans. on Information Technology in Biomedicine, 15:277-289.
    • (2011) IEEE Trans. on Information Technology in Biomedicine , vol.15 , pp. 277-289
    • Doukas, C.N.1    Maglogiannis, I.2
  • 17
    • 77954801910 scopus 로고    scopus 로고
    • Adaptive body posture analysis for elderly-falling detection with multisensors
    • Lai C.F, Huang Y.M, Park J.Y, Chao H.C (2010) Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors. IEEE Intel. Systems, 25:20-30.
    • (2010) IEEE Intel. Systems , vol.25 , pp. 20-30
    • Lai, C.F.1    Huang, Y.M.2    Park, J.Y.3    Chao, H.C.4
  • 21
    • 67049155519 scopus 로고    scopus 로고
    • Fall detection and activity recognition with machine learning
    • Luštrek M, and Kaluža B (2008) Fall Detection and Activity Recognition with Machine Learning. Informatica, 33:205-212.
    • (2008) Informatica , vol.33 , pp. 205-212
    • Luštrek, M.1    Kaluža, B.2
  • 24
    • 77954083037 scopus 로고    scopus 로고
    • Dynamic tracking re- adjustment: A method for automatic tracking recovery in complex visual environments
    • Doulamis A (2010) Dynamic Tracking Re- Adjustment: A Method for Automatic Tracking Recovery in Complex Visual Environments. Multimedia Tools and Applications, 50:49-73.
    • (2010) Multimedia Tools and Applications , vol.50 , pp. 49-73
    • Doulamis, A.1
  • 30
    • 84876882047 scopus 로고    scopus 로고
    • ISISEMD European Union Funded project. Available: http://ec.europa.eu/ information-society/apps /projects/factsheet/index.cfm?project-ref=238914
    • ISISEMD European Union Funded Project


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.