NDLI: Event-driven feature analysis in a 4D spatiotemporal representation for ambient assisted living

Content Provider	IEEE Xplore Digital Library
Author	Belbachir, A.N. Nowakowska, A. Schraml, S. Wiesmann, G. Sablatnig, R.
Copyright Year	2011
Description	Author affiliation: New Sensor Technologies, Safety & Security, Dep., AIT Austrian Institute of Technology, Donau-City Str. 1/5, A-1220, Vienna Austria (Belbachir, A.N.; Nowakowska, A.; Schraml, S.; Wiesmann, G.) \|\| Computer Vision Lab, Institute of Computer Aided Automation, Vienna University of Technology, Favoritenstr. 9/183, A-1040, Austria (Sablatnig, R.)
Abstract	This paper presents a detailed analysis of a 4D representation of events, which are generated by a dynamic stereo vision sensor for the recognition of person's fall. Dynamic vision detectors consist of self-signaling pixels that autonomously react to scene dynamics and asynchronously generate events upon relative light intensity change. Their complete on-chip redundancy reduction, wide dynamic range and high temporal resolution allow efficient and continuous activity monitoring in natural environment. Using a stereo pair of dynamic vision detectors, it is possible to represent the scene dynamics in a 4D space (including time) at a high temporal resolution. In this work, we performed 100 recordings of scenarios including falls in indoor environment using this dynamic stereo vision sensor. Seven features have been extracted and analyzed for three types of falls such that robust parameters will be kept for fall recognition. The result of this analysis is shown in this work with promising outcomes.
Starting Page	1570
Ending Page	1577
File Size	2173064
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130437
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Detectors Feature extraction Three dimensional displays Stereo vision Spatiotemporal phenomena Monitoring
Content Type	Text
Resource Type	Article

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