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OPTrack: A Novel Online People Tracking System

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Intelligent Systems Design and Applications (ISDA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1351))

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Abstract

Multi-camera people tracking problem presents a crucial step for intelligent video surveillance systems in a large camera network. In this paper, we present a novel Online People Tracking system (OPTrack) that tracks people in a camera network with non-overlapping filed of views under uncontrolled acquisition conditions. It represents a challenging task as people appearance is largely affected by the different acquisition conditions in terms of viewpoint and posture variations, lighting conditions, etc. The proposed method aims to establish the correspondence between the persons, detected in the different cameras, based on spatio-temporal and appearance features. Particularly, a new Multi-level Semantic Appearance Representation descriptor (MLSAR) is proposed to encode two complementary appearance characteristics, i.e. the low-level features and the semantic attributes. The proposed system has been experimentally validated, quantitatively and qualitatively, based on the HDA+ and the VIPeR datasets. The outcomes of this evaluation show promising results and demonstrate the effectiveness of our system.

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Author information

Authors and Affiliations

  1. MIRACL Laboratory, FSS, University of Sfax, Road Sokra km 4, BP 802, 3038, Sfax, Tunisia

    Mayssa Frikha, Emna Fendri & Mohamed Hammami

Authors
  1. Mayssa Frikha
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  2. Emna Fendri
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  3. Mohamed Hammami
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  5. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  6. School of Engineering, Instituto Superior de Engenharia do Porto, Porto, Portugal

    Ana Madureira

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Frikha, M., Fendri, E., Hammami, M. (2021). OPTrack: A Novel Online People Tracking System. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_92

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