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Title

Depth-based detection of salient moving objects in sonified videos for blind users

Authors
Vinckenbosch, Michel
Published in Proceedings of the Third International Conference on Computer Vision Theory and Applications, VISAPP 2008. Funchal, Madeira, Portugal - Jan. 22-25 - . 2008, p. 434-439
Abstract The context of this work is the development of a mobility aid for visually impaired persons. We present here an original approach for a real time alerting system, based on the detection of visual salient parts in videos. The particularity of our approach lies in the use of a new feature map constructed from the depth gradient. A distance function is described, which takes into account both stereoscopic camera limitations and user’s choices. We also report how we automatically estimate the contribution of conspicuity maps, which enables the unsupervised determination of the final saliency map. We demonstrate here that this additional depth-based feature map allows the system to detect salient regions with good accuracy in most situations, even in the presence of noisy disparity maps.
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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DEVILLE, Benoît et al. Depth-based detection of salient moving objects in sonified videos for blind users. In: Proceedings of the Third International Conference on Computer Vision Theory and Applications, VISAPP 2008. Funchal, Madeira, Portugal. [s.l.] : [s.n.], 2008. p. 434-439. https://archive-ouverte.unige.ch/unige:47699

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Deposited on : 2015-03-06

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