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2007 16th International Conference on Computer Communications and Networks

DOI: 10.1109/icccn.2007.4317978

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Automatic fall incident detection in compressed video for intelligent homecare

Proceedings article published in 2007 by Chia-Wen Lin ORCID, Zhi-Hong Ling
This paper is available in a repository.
This paper is available in a repository.

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Abstract

電機工程學系 ; This paper presents a compressed-domain fall incident detection scheme for intelligent homecare applications. First, a compressed-domain object segmentation scheme is performed to extract moving objects based on global motion estimation and local motion clustering. After detecting the moving objects, three compressed-domain features of each object are then extracted for identifying and locating fall incidents. The proposed system can differentiate fall-down from squatting by taking into account the event duration. Our experiments show that the proposed method can correctly detect fall incidents in real time.