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  4. Using trajectories derived by dense optical flows as a spatial component in background subtraction
 
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2016
Conference Paper
Title

Using trajectories derived by dense optical flows as a spatial component in background subtraction

Abstract
Foreground-Background Segregation has been intensively researched in the last decades as it is an important first step in many Computer Vision tasks. Nonetheless, there are still many open questions in this area and in this paper we focus on a special surveillance scenario where a static camera monitors a predefined region. This restrain makes some aspects easier and good results could be achieved with Background Subtraction methods. However, these only work pixelwise and lack the spatial component completely. We suggest an approach to add the crucial spatial information to the segmentations with Dense Optical Flows. For this, a number of successive images are taken from the video to compute the Trajectories of the pixels through these frames. This enables us to fuse the information from the several images and use this for segmentation. The algorithm was evaluated on a video from a surveillance camera and showed promising results.
Author(s)
Radolko, Martin
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Farhadifard, Fahimeh
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2016. Full Papers Proceedings  
Conference
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)  
File(s)
Download (7.9 MB)
Link
Link
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-397207
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Research Line: Computer vision (CV)

  • video segmentation

  • image segmentation

  • optical flow

  • Lead Topic: Visual Computing as a Service

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