publication . Conference object . 2020

A First-person Database for Detecting Barriers for Pedestrians

Zenonas Theodosiou; Harris Partaourides; Tolga Atun; Simoni Panayi; Andreas Lanitis;
Open Access English
  • Published: 10 Apr 2020
Abstract
increasingly being utilized in several applications to enhance the quality of citizens’ life, especially for those with visual or motion impairments. The development of sophisticated egocentric computer vision techniques requires automatic analysis of large databases of first-person point of view visual data collected through wearable devices. In this paper, we present our initial findings regarding the use of wearable cameras for enhancing the pedestrians’ safety while walking in city sidewalks. For this purpose, we create a first-person database that entails annotations on common barriers that may put pedestrians in danger. Furthermore, we derive a framework f...
Funded by
EC| RISE
Project
RISE
Research Center on Interactive Media, Smart System and Emerging Technologies
  • Funder: European Commission (EC)
  • Project Code: 739578
  • Funding stream: H2020 | SGA-CSA
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Conference object . 2020
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publication . Conference object . 2020

A First-person Database for Detecting Barriers for Pedestrians

Zenonas Theodosiou; Harris Partaourides; Tolga Atun; Simoni Panayi; Andreas Lanitis;