Title :
An uncertainty model for people counters based on video sensors
Author :
Leonardi, F. ; Macii, D.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY
Abstract :
This paper deals with an accurate stochastic model describing the uncertainty associated with people counting systems based on smart video cameras. The proposed analysis paves the way to the definition of some criteria to perform the metrological characterization of such systems as well as to improve their accuracy, regardless of their specific technology.
Keywords :
image sensors; measurement uncertainty; stochastic processes; video cameras; accurate stochastic model; building automation systems; metrological characterization; people counting systems; smart video cameras; uncertainty estimation model; video sensors; Cameras; Computer science; Counting circuits; Intelligent sensors; Intelligent transportation systems; Measurement uncertainty; Monitoring; Position measurement; Sensor systems; Stochastic processes; Uncertainty estimation; building automation systems; people counters; video cameras;
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2008. AMUEM 2008. IEEE International Workshop on
Conference_Location :
Trento
Print_ISBN :
978-1-4244-2236-4
Electronic_ISBN :
978-1-4244-2237-1
DOI :
10.1109/AMUEM.2008.4589936
