DocumentCode :
248961
Title :
Scalable, self-organizing 3D camera network for non-intrusive people tracking and counting
Author :
Hegner, Robert ; Hartmann, Andreas ; Niederberger, Thomas ; Schuster, Guido M.
Author_Institution :
Univ. of Appl. Sci. of Eastern Switzerland, Rapperswil, Switzerland
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3405
Lastpage :
3407
Abstract :
In this proposal we present a scalable, self-organizing people tracking system for the ICIP 2014 Show&Tell. We describe the people tracking system and show why it is a good candidate for an interactive live demo.
Keywords :
cameras; interactive systems; object tracking; ICIP 2014 Show&Tell; interactive live demo; nonintrusive people counting; nonintrusive people tracking; scalable self-organizing 3D camera network; scalable self-organizing people tracking system; Calibration; Cameras; Databases; Educational institutions; Sensor systems; Three-dimensional displays; 3D camera; distributed system; people tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025689
Filename :
7025689
Link To Document :
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