Zhang et al., 2012 - Google Patents
A viewpoint-independent statistical method for fall detectionZhang et al., 2012
View PDF- Document ID
- 12873235480507985719
- Author
- Zhang Z
- Liu W
- Metsis V
- Athitsos V
- Publication year
- Publication venue
- Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
External Links
Snippet
The goal of a fall detection system is to automatically detect cases where a human falls and may have been injured. We propose a statistical method based on Kinect depth cameras, that makes a decision based on information about how the human moved during the last few …
- 238000001514 detection method 0 title abstract description 21
Classifications
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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- G06T2207/30196—Human being; Person
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
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- G06K9/00288—Classification, e.g. identification
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