An eigenspace-based approach for human fall detection using Integrated Time Motion Image and Neural Network

@article{Foroughi2008AnEA,
  title={An eigenspace-based approach for human fall detection using Integrated Time Motion Image and Neural Network},
  author={Homa Foroughi and Alireza Naseri and Amir Saberi and H. Sadoghi Yazdi},
  journal={2008 9th International Conference on Signal Processing},
  year={2008},
  pages={1499-1503}
}
Falls are a major health hazard for the elderly and a serious obstacle for independent living. Since falling causes dramatic physical-psychological consequences, development of intelligent video surveillance systems is so important due to providing safe environments. To this end, this paper proposes a novel approach for human fall detection based on combination of integrated time motion images and eigenspace technique. Integrated time motion image (ITMI) is a type of spatio-temporal database… CONTINUE READING
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