Abstract
The article presents the structure and working of the system supervising the convalescent or elder person at home. Images acquired from a suitably mounted camera are analyzed to determine the pose and activity of the observed person. Extensive configuration module allows to define zones of rest and obstructing objects. Situations of long immobility are detected in places where it should not happen. The activity of observed person is computed using two independent methods: by counting the number of frames in which the active poses are detected and by counting the number of frames, in which the dominant component of the optical flow histogram exceeded the threshold value. By keeping methods of image analysis as simple as possible the processing time was achieved close to the real-time.
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Mikrut, Z., Pleciak, P., Smoleń, M. (2012). Combining Pattern Matching and Optical Flow Methods in Home Care Vision System. In: Piętka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Lecture Notes in Computer Science(), vol 7339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31196-3_54
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DOI: https://doi.org/10.1007/978-3-642-31196-3_54
Publisher Name: Springer, Berlin, Heidelberg
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