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Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10016))

Abstract

In this work, we propose a novel methodology of re-identifying people in frontal video sequences, based on a spatio-temporal representation of the gait based on optic flow features, which we call Histogram Of Flow Energy Image (HOFEI). Optic Flow based methods do not require the silhouette computation thus avoiding image segmentation issues and enabling online re-identification (Re-ID) tasks. Not many works addressed Re-ID with optic flow features in frontal gait. Here, we conduct an extensive study on CASIA dataset, as well as its application in a realistic surveillance scenario- HDA Person dataset. Results show, for the first time, the feasibility of gait re-identification in frontal sequences, without the need for image segmentation.

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Notes

  1. 1.

    http://www.cbsr.ia.ac.cn/english/Gait%20Databases.asp.

  2. 2.

    http://www.mathworks.com/matlabcentral/fileexchange/44400-tutorial-and-toolbox-on-real-time-optical-flow.

  3. 3.

    http://vislab.isr.ist.utl.pt/hda-dataset/.

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Acknowledgements

This work was supported by the FCT projects [UID/EEA/ 50009/2013], AHA CMUP-ERI/HCI/0046/2013 and FCT doctoral grant [SFRH/ BD/97258/2013].

Author information

Authors and Affiliations

  1. Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisbon, Portugal

    Athira Nambiar, Jacinto C. Nascimento, Alexandre Bernardino & José Santos-Victor

Authors
  1. Athira Nambiar
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  2. Jacinto C. Nascimento
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  3. Alexandre Bernardino
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  4. José Santos-Victor
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Corresponding author

Correspondence to Athira Nambiar .

Editor information

Editors and Affiliations

  1. Université Paris-Sud 11 , Orsay, France

    Jacques Blanc-Talon

  2. University of Salento , Lecce, Lecce, Italy

    Cosimo Distante

  3. Ghent University , Gent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre , Sydney, New South Wales, Australia

    Dan Popescu

  5. University of Antwerp , Wilrijk, Belgium

    Paul Scheunders

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Nambiar, A., Nascimento, J.C., Bernardino, A., Santos-Victor, J. (2016). Person Re-identification in Frontal Gait Sequences via Histogram of Optic Flow Energy Image. In: Blanc-Talon, J., Distante, C., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science(), vol 10016. Springer, Cham. https://doi.org/10.1007/978-3-319-48680-2_23

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  • DOI: https://doi.org/10.1007/978-3-319-48680-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48679-6

  • Online ISBN: 978-3-319-48680-2

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