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Authors: Haroon Qureshi 1 and Markus Ludwig 2

Affiliations: 1 Institut für Rundfunktechnik GmbH (IRT), Germany ; 2 Institut für Rundfunktechnik GmbH, Germany

Keyword(s): Saliency, Visual Attention Modeling, DCT Based Object Detection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Visual Attention and Image Saliency

Abstract: Detecting salient regions in a temporal domain is indeed a challenging problem. The problem gets trickier when there is a moving object in a scene and becomes even more complex in the presence of camera motion. The camera motion can influence saliency detection as on one side, it can provide important information about the location of moving object. On the other side, camera motion can also lead to wrong estimation of salient regions. Therefore it is very important to handle this issue more sensible. This paper provides a solution to this issue by combining a saliency detection approach with motion estimation approach. This further extends the Temporal Image Signature (TIS) (Qureshi, 2013) approach to the more complex level where not only object motion is considered but also camera motion influence is compensated.

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Paper citation in several formats:
Qureshi, H. and Ludwig, M. (2015). Motion Compensated Temporal Image Signature Approach. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 512-516. DOI: 10.5220/0005303305120516

@conference{visapp15,
author={Haroon Qureshi and Markus Ludwig},
title={Motion Compensated Temporal Image Signature Approach},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={512-516},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005303305120516},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Motion Compensated Temporal Image Signature Approach
SN - 978-989-758-089-5
IS - 2184-4321
AU - Qureshi, H.
AU - Ludwig, M.
PY - 2015
SP - 512
EP - 516
DO - 10.5220/0005303305120516
PB - SciTePress

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