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

    Fingerprint

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

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