An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes

Sourav Garg, Swagat Kumar, Rajesh Ratnakaram, Prithwijit Guha

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

© 2015 IEEE.This paper looks into the problem of pedestrian tracking using a monocular, potentially moving, uncalibrated camera. The pedestrians are located in each frame using a standard human detector, which are then tracked in subsequent frames. This is a challenging problem as one has to deal with complex situations like changing background, partial or full occlusion and camera motion. In order to carry out successful tracking, it is necessary to resolve associations between the detected windows in the current frame with those obtained from the previous frame. Compared to methods that use temporal windows incorporating past as well as future information, we attempt to make decision on a frame-by-frame basis. An occlusion reasoning scheme is proposed to resolve the association problem between a pair of consecutive frames by using an affinity matrix that defines the closeness between a pair of windows and then, uses a binary integer programming to obtain unique association between them. A second stage of verification based on SURF matching is used to deal with those cases where the above optimization scheme might yield wrong associations. The efficacy of the approach is demonstrated through experiments on several standard pedestrian datasets.
Original languageEnglish
Title of host publicationAVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467376327
DOIs
Publication statusPublished - 19 Oct 2015
Event 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) - Karlsruhe, Germany
Duration: 25 Aug 201528 Aug 2015

Publication series

NameAVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance

Conference

Conference 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
CountryGermany
CityKarlsruhe
Period25/08/1528/08/15

Keywords

  • Cognition
  • Detectors
  • Kalman filters
  • Linear programming
  • Target tracking
  • Trajectory

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  • Cite this

    Garg, S., Kumar, S., Ratnakaram, R., & Guha, P. (2015). An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes. In AVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2015.7301781