A method for real-time detection of human fall from video

MIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics - Proceedings

Volumn , Issue , 2012, Pages 1709-1712

  Krekovic M ^a   Ceric P ^a   Dominko, T ^a   Ilijas M ^a   Ivancic K ^a   Skolan, V ^a   Sarlija J ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND ESTIMATION; BODY ORIENTATION; DETECTION ALGORITHM; ELDERLY PEOPLE; FALL DETECTION; HUMAN FALL DETECTION; HUMAN MOTIONS; LIVING ALONE; MOTION FEATURE EXTRACTION; MOVING OBJECTS; REAL-TIME DETECTION; SINGLE CAMERAS;

COMMUNICATION; FEATURE EXTRACTION; INFORMATION TECHNOLOGY; MICROELECTRONICS; VIDEO RECORDING;

SIGNAL DETECTION;

EID: 84865080616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Rougier, C., St-Arnaud, A., Rousseau, J., Meunier, J., Video Surveillance for Fall Detection. Department of Computer Science and Operations Research, University of Montreal, Canada
2. Spehr, J., Gövercin, M., Winkelbach, S., Steinhagen-Thiessen, E., Wahl, F.M. Visual Fall Detection in Home Environments.
3. Vishwakarma, V., Mandal, C., Sural S. Automatic Detection of Human Fall in Video. Indian Institute of Technology, Kharagpur, India
4. McIvor, A. M. Background Subtraction Technique, Reveal Ltd, Auckland, New Zealand
5. Toyama, K., Krumm, J., Brumitt, B., Meyers, B. Principles and Practice of Background Maintenance,Microsof Research, WA 98052
6. Davis, J. W., Bobick, A. F. The Representation and Recognition of Action Using Temporal Templates, CVPR97, 1997
7. Davis, J. W., Bradski, G. R. Motion Segmentation and Pose Recognition with Motion History Gradients, WACV00, 2000
8. Z. Živkoviæ, Improved adaptive Gausian mixture model for background subtraction, international Conference Pattern Recognition, UK, August, 2004