Crowd analysis at mass transit sites

Prahlad Kilambi, Osama Masoud, Nikolaos P Papanikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

We propose a novel method for detecting and estimating the count of people in groups, dense or otherwise, as well as tracking them. Using prior knowledge obtained from the scene and accurate camera calibration, the system learns the parameters required for estimation. This information can then be used to estimate the count of people in the scene, in realtime. There are no constraints on camera placement. Groups are tracked in the same manner as individuals, using Kalman filtering techniques. Results are provided for groups of various sizes moving in an unconstrained fashion in crowded scenes.

Original languageEnglish (US)
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
Pages753-758
Number of pages6
StatePublished - Dec 1 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CountryCanada
CityToronto, ON
Period9/17/069/20/06

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