An eigenspace-based approach for human Fall detection using integrated time motion image and Neural Network

International Conference on Signal Processing Proceedings, ICSP

Volumn , Issue , 2008, Pages 1499-1503

  Foroughi, Homa ^a   Naseri, Aabed ^b   Saberi, Alireza ^b   Yazdi, Hadi Sadoghi ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; DAILY LIFE ACTIVITIES; EIGENSPACE; FALL DETECTION; HUMAN FALL DETECTION; INDEPENDENT LIVING; INTELLIGENT VIDEO SURVEILLANCE; MLP NEURAL NETWORKS; MOTION IMAGES; MOVEMENT PATTERN; RANGE OF MOTIONS; RELIABLE RECOGNITION; SPATIO-TEMPORAL DATABASE;

HEALTH HAZARDS; NEURAL NETWORKS; SECURITY SYSTEMS; SIGNAL PROCESSING;

FACE RECOGNITION;

EID: 67249098346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2008.4697417     Document Type: Conference Paper

References (12)

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