Human Action Recognition and Coding based on Skeleton Data for Visually Impaired and Blind People Aid System

Leyla, Benhamida,; Larabi, Slimane

doi:10.1109/i3cis56626.2022.10075662

Cited by 5 publications

(1 citation statement)

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“…We also plan on retraining a fast segmentation model to keep up with the real-time execution and enriching captions with textual descriptions of actions by applying the methods proposed in [32] since they rely on depth as well.…”

Section: Future Perspectivesmentioning

confidence: 99%

Egocentric Scene Description for the Blind and Visually Impaired

Delloul

Larabi

2022

2022 5th International Symposium on Informatics and Its Applications (ISIA)

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In recent years, image captioning and segmentation have emerged as crucial tasks in computer vision, with applications ranging from autonomous driving to content analysis. Although multiple solutions have emerged to help blind and visually impaired people move around their environment, few are applications that help them understand and rebuild a scene in their minds through text. Most built models focus on helping users move and avoid obstacles, restricting the number of environments blind and visually impaired people can be in.In this paper, we will propose an approach that helps them understand their surroundings using image captioning. The particularity of our research is that we offer them descriptions with positions of regions and objects regarding them (left, right, front), as well as positional relationships between regions, while we aim to give them access to theatre plays by applying the solution to our TS-RGBD dataset.

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Section: Future Perspectivesmentioning

confidence: 99%