Abstract
Sensing the presence and state of people is of paramount importance
in assistive living environments. In this paper we
utilise a set of fixed, calibrated cameras to model the bodies
of people directly in three dimensions. An adaptive foreground
segmentation algorithm is run per camera, providing
evidence to be collected in 3D body blobs. A particle
filter tracker allows monitoring the modelled bodies across
time, offering estimations of their state by using hot-spots
and body posture. We apply our system on fall detection
and activity monitoring for the elderly, addressing both emergency
and cognitive care.
in assistive living environments. In this paper we
utilise a set of fixed, calibrated cameras to model the bodies
of people directly in three dimensions. An adaptive foreground
segmentation algorithm is run per camera, providing
evidence to be collected in 3D body blobs. A particle
filter tracker allows monitoring the modelled bodies across
time, offering estimations of their state by using hot-spots
and body posture. We apply our system on fall detection
and activity monitoring for the elderly, addressing both emergency
and cognitive care.
| Original language | English |
|---|---|
| Journal | Proceedings of the European Signal Processing Conference |
| Volume | 2010 |
| Pages (from-to) | 964-968 |
| ISSN | 2076-1465 |
| Publication status | Published - 2010 |
| Event | European Signal Processing Conference 2010 - Aalborg, Denmark Duration: 23 Aug 2010 → 27 Aug 2010 |
Conference
| Conference | European Signal Processing Conference 2010 |
|---|---|
| Country/Territory | Denmark |
| City | Aalborg |
| Period | 23/08/2010 → 27/08/2010 |