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Crowd counting using group tracking and local features

Ryan, David, Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2010) Crowd counting using group tracking and local features. In 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2010), 29 August - 1 September 2010, Boston.

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    Abstract

    In public venues, crowd size is a key indicator of crowd safety and stability. In this paper we propose a crowd counting algorithm that uses tracking and local features to count the number of people in each group as represented by a foreground blob segment, so that the total crowd estimate is the sum of the group sizes. Tracking is employed to improve the robustness of the estimate, by analysing the history of each group, including splitting and merging events. A simplified ground truth annotation strategy results in an approach with minimal setup requirements that is highly accurate.

    Impact and interest:

    4 citations in Scopus
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    ID Code: 34498
    Item Type: Conference Paper
    Keywords: Crowd Counting, Crowd Density, Local Features, Object Tracking, Foreground segmentation
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
    Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
    Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Past > Institutes > Information Security Institute
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2010 IEEE.
    Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Deposited On: 16 Sep 2010 14:34
    Last Modified: 16 Sep 2010 14:34

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