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HMM Based Falling Person Detection Using Both Audio and Video

9 years 26 days ago
HMM Based Falling Person Detection Using Both Audio and Video
Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance systems. Human motion in video is modeled using Hidden Markov Models (HMM) in this paper. In addition, the audio track of the video is also used to distinguish a person simply sitting on a floor from a person stumbling and falling. Most video recording systems have the capability of recording audio as well and the impact sound of a falling person is also available as an additional clue. Audio channel data based decision is also reached using HMMs and fused with results of HMMs modeling the video data to reach a final decision.
B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis &
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICCV
Authors B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis Çetin
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