Title :
A Statistical Method for People Counting in Crowded Environments
Author :
Bozzoli, Massimiliano ; Cinque, Luigi ; Sangineto, Enver
Author_Institution :
Hypercube S.r.L., Monterosi
Abstract :
In this paper we present the results of a two-years research project on automatic people counting in public crowded environments. The aim of the proposed system is to estimate the number of people passing through a gate in a public area such as a metro or a railway station. The problem is particularly challenging due to both the presence of crowd which makes it difficult the use of previous systems based on detection of isolated passengers and to the high level of statistic accuracy requested by traffic monitoring applications (error rate less then 5%).
Keywords :
estimation theory; filtering theory; image sequences; pattern clustering; statistical analysis; traffic engineering computing; crowded environments; optical flow clustering; optical flow fiiltering; people counting; people estimation; statistical method; traffic monitoring applications; Cameras; Data mining; Error analysis; Humans; Hypercubes; Layout; Rail transportation; Statistical analysis; Statistics; Testing;
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
DOI :
10.1109/ICIAP.2007.4362828
