Estimating pedestrian counts in groups

Prahlad Kilambi, Evan Ribnick, Ajay J. Joshi, Osama Masoud, Nikolaos P Papanikolopoulos

Research output: Contribution to journalArticle

109 Citations (Scopus)

Abstract

The goal of this work is to provide a system which can aid in monitoring crowded urban environments, which often contain tight groups of people. In this paper, we consider the problem of counting the number of people in the scene and also tracking them reliably. 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 real-time. Groups are tracked in the same manner as individuals, using Kalman filtering techniques. Favorable results are shown for groups of various sizes moving in an unconstrained fashion.

Original languageEnglish (US)
Pages (from-to)43-59
Number of pages17
JournalComputer Vision and Image Understanding
Volume110
Issue number1
DOIs
StatePublished - Apr 1 2008

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Cameras
Calibration
Monitoring

Keywords

  • Count estimation
  • Groups
  • Occlusions
  • Pedestrian tracking
  • Projection

Cite this

Estimating pedestrian counts in groups. / Kilambi, Prahlad; Ribnick, Evan; Joshi, Ajay J.; Masoud, Osama; Papanikolopoulos, Nikolaos P.

In: Computer Vision and Image Understanding, Vol. 110, No. 1, 01.04.2008, p. 43-59.

Research output: Contribution to journalArticle

Kilambi, Prahlad ; Ribnick, Evan ; Joshi, Ajay J. ; Masoud, Osama ; Papanikolopoulos, Nikolaos P. / Estimating pedestrian counts in groups. In: Computer Vision and Image Understanding. 2008 ; Vol. 110, No. 1. pp. 43-59.
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