Tracking People in Dense Crowds Using Supervoxels

Shota Takayama, Teppei Suzuki, Yoshimitsu Aoki, Sho Isobe, Makoto Masuda

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

    Abstract

    The demand for people tracking in dense crowds is increasing, but it is a challenging problem in the computer vision field. 'Crowd tracking' is extremely difficult because of hard occlusions, various motions and posture changes. In particular, we need to handle occlusions for more robust tracking. This paper discusses robust crowd tracking based on a combination of supervoxels and optical flow tracking. The SLIC based supervoxel algorithm adaptively estimates the boundary between a person and a background. Therefore, the combination of supervoxels and optical flow tracking becomes a highly reliable approach for crowd tracking. In tracking experiments, high performance is achieved for the UCF crowd dataset.

    Original languageEnglish
    Title of host publicationProceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages532-537
    Number of pages6
    ISBN (Electronic)9781509056989
    DOIs
    Publication statusPublished - 2017 Apr 21
    Event12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 - Naples, Italy
    Duration: 2016 Nov 282016 Dec 1

    Other

    Other12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016
    CountryItaly
    CityNaples
    Period16/11/2816/12/1

    Keywords

    • dense crowd
    • optical flow
    • People tracking
    • supervoxel

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Radiology Nuclear Medicine and imaging
    • Computer Networks and Communications
    • Signal Processing

    Fingerprint Dive into the research topics of 'Tracking People in Dense Crowds Using Supervoxels'. Together they form a unique fingerprint.

  • Cite this

    Takayama, S., Suzuki, T., Aoki, Y., Isobe, S., & Masuda, M. (2017). Tracking People in Dense Crowds Using Supervoxels. In Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 (pp. 532-537). [7907517] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SITIS.2016.90