DocumentCode :
3021197
Title :
Event-driven feature analysis in a 4D spatiotemporal representation for ambient assisted living
Author :
Belbachir, Ahmed Nabil ; Nowakowska, Aneta ; Schraml, Stephan ; Wiesmann, Georg ; Sablatnig, Robert
Author_Institution :
New Sensor Technol., Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
1570
Lastpage :
1577
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.
Keywords :
feature extraction; geriatrics; health care; image representation; image sensors; object recognition; stereo image processing; 4D spatiotemporal representation; ambient assisted living; dynamic stereo vision sensor; dynamic vision detectors; elderly persons; event generation; event-driven feature analysis; feature analysis; feature extraction; high temporal resolution; on-chip redundancy reduction; person fall recognition; relative light intensity change; scene dynamics; self-signaling pixels; Detectors; Feature extraction; Legged locomotion; Monitoring; Spatiotemporal phenomena; Stereo vision; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
Type :
conf
DOI :
10.1109/ICCVW.2011.6130437
Filename :
6130437
Link To Document :
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