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Tao et al., 2019 - Google Patents

3D convolutional neural network for home monitoring using low resolution thermal-sensor array

Tao et al., 2019

View PDF
Document ID
8713883929524905770
Author
Tao L
Volonakis T
Tan B
Zhang Z
Jing Y
Smith M
Publication year
Publication venue
3rd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2019)

External Links

Snippet

The recognition of daily actions, such as walking, sitting or standing, in the home is informative for assisted living, smart homes and general health care. A variety of actions in complex scenes can be recognised using visual information. However cameras succumb to …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369Recognition of whole body, e.g. static pedestrian or occupant recognition
    • GPHYSICS
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