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Chromatic shadow detection and tracking for moving foreground segmentation

Author
Huerta, I.; Holte, M.; Moeslund, T.; Gonzàlez, J.
Type of activity
Journal article
Journal
Image and vision computing
Date of publication
2015
Volume
41
Number
September
First page
42
Last page
53
DOI
https://doi.org/10.1016/j.imavis.2015.06.003 Open in new window
Project funding
Cargo handling by automated next generation transportation systems for ports and terminals
Robot-Int-Coop: Robot-Human Interaction, Cooperation and Learning in Urban Areas
Repository
http://hdl.handle.net/2117/84360 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0262885615000712 Open in new window
Abstract
Advanced segmentation techniques in the surveillance domain deal with shadows to avoid distortions when detecting moving objects. Most approaches for shadow detection are still typically restricted to penumbra shadows and cannot cope well with umbra shadows. Consequently, umbra shadow regions are usually detected as part of moving objects, thus affecting the performance of the final detection. In this paper we address the detection of both penumbra and umbra shadow regions. First, a novel bottom...
Citation
Huerta, I., Holte, M., Moeslund, T., Gonzàlez, J. Chromatic shadow detection and tracking for moving foreground segmentation. "Image and vision computing", 2015, vol. 41, núm. September, p. 42-53.
Keywords
chromatic shadow detection, computer vision. detecting moving objects, shadow tracking, spatial and temporal brightness and angle distortions, temporal local gradient

Participants

  • Huerta Casado, Iván  (author)
  • Holte, Michael B.  (author)
  • Moeslund, Thomas  (author)
  • Gonzàlez, Jordi  (author)