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Object Flow: Learning Object Displacement

  • Constantinos Lalos
  • Helmut Grabner
  • Luc Van Gool
  • Theodora Varvarigou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)

Abstract

Modelling the dynamic behaviour of moving objects is one of the basic tasks in computer vision. In this paper, we introduce the Object Flow, for estimating both the displacement and the direction of an object-of-interest. Compared to the detection and tracking techniques, our approach obtains the object displacement directly similar to optical flow, while ignoring other irrelevant movements in the scene. Hence, Object Flow has the ability to continuously focus on a specific object and calculate its motion field. The resulting motion representation is useful for a variety of visual applications (e.g., scene description, object tracking, action recognition) and it cannot be directly obtained using the existing methods.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Constantinos Lalos
    • 1
  • Helmut Grabner
    • 2
  • Luc Van Gool
    • 2
    • 3
  • Theodora Varvarigou
    • 1
  1. 1.School of Electrical & Computer EngineeringNTUAGreece
  2. 2.Computer Vision LaboratoryETH ZurichSwitzerland
  3. 3.ESAT-PSI/IBBTK.U. LeuvenBelgium

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