A robust fall detection system for the elderly in a smart room

Yu, Miao and Naqvi, Syed Mohsen and Chambers, Jonathan (2010) A robust fall detection system for the elderly in a smart room. In: Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, 14 - 19 March 2010, Sheraton Dallas.

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Item Type:Conference or Workshop contribution (Paper)
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Abstract

In the paper, we propose a robust fall detection method which combines head tracking and extraction of human shape within a smart home environment equipped with video cameras. A motion history image and an improved code-book background subtraction technique are combined to extract the human shape. An additional motion-based particle filtering head tracker is also used to ensure the robustness of the system. The extracted human shape information and the head tracking results are combined as criteria for judging the occurrence of a fall. The success of the method is confirmed on real video sequences.

Keywords:motion history image, code-book background subtraction, motion-based particle ?ltering, head tracking, fall detection
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:26790
Deposited On:30 Mar 2017 13:39

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