Gait
Recognition
Context: object
recognition or gait recognition can be interpreted as a classification of
images or of video (i.e. images or videos containing the object or the event as
opposed to those not containing it). Our contribution is to take into account
the specificity of the application and of the resolution of the camera.
Application in Focus : improve home medical care by
setting cameras. Real-time processing of videos could enable to detect
faintness or repeated medication intakes and to trigger a voice message or a
call to a medical advisor.
Tracking Example : The following video shows an
example of drinking glass tracking: Intaking Medication.avi
Contribution : [1] shows a contour estimation algorithm
specific to low-resolution camera. [2] shows how location and movement of
interest points are in themselves informative.
List
of Publications
[1] G. Dauphin and
Dauphin11_paper.pdf,
Dauphin11_poster.pdf
[2] G. Dauphin, Tracking Based Solely on Location of Interest Points. In
Proceeding of 4th European Workshop on Visual Information Processing. 6 pages,
Dauphin13_paper.pdf, Dauphin13_poster.pdf,
Dauphin13_demo.m