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Indoor/outdoor navigation system based on possibilistic traversable area segmentation for visually impaired people
Frikha, Jihen (National Engineering School of Sfax (Sfax, Tunísia))
Sellami, Dorra (National Engineering School of Sfax (Sfax, Tunísia))
Khanfir Kallel, Imen (National Engineering School of Sfax (Sfax, Tunísia))

Data: 2016
Resum: Autonomous collision avoidance for visually impaired people requires a specific processing for an accurate definition of traversable area. Processing of a real time image sequence for traversable area segmentation is quite mandatory. Low cost systems suggest use of poor quality cameras. However, real time low cost camera suffers from great variability of traversable area appearance at indoor as well as outdoor environments. Taking into account ambiguity affecting object and traversable area appearance induced by reflections, illumination variations, occlusions (, etc. . . ), an accurate segmentation of traversable area in such conditions remains a challenge. Moreover, indoor and outdoor environments add additional variability to traversable areas. In this paper, we present a real-time approach for fast traversable area segmentation from image sequence recorded by a low-cost monocular camera for navigation system. Taking into account all kinds of variability in the image, we apply possibility theory for modeling information ambiguity. An efficient way of updating the traversable area model in each environment condition is to consider traversable area samples from the same processed image for building its possibility maps. Then fusing these maps allows making a fair model definition of the traversable area. Performance of the proposed system was evaluated on public databases, with indoor and outdoor environments. Experimental results show that this method is challenging leading to higher segmentation rates.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Traversable area segmentation ; Indoor/outdoor environment ; Possibility theory ; Fusion ; Reference window ; Visually impaired people
Publicat a: ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 60-76 (Regular Issue) , ISSN 1577-5097

Adreça original:
DOI: 10.5565/rev/elcvia.818

17 p, 1.2 MB

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