A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm

Rui Shan; Wei Shi; Zhu Teng; Yoshihiro Okada

doi:10.1007/978-3-031-26281-4_40

A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm

Rui Shan, Wei Shi, Zhu Teng, Yoshihiro Okada

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Avoiding obstacles and pedestrians during the movement is a challenge for the visual impaired people. With the advancement of computer vision, some new technologies can be applied to improve this problem. In this paper, we proposed a new framework to realize such function based on the object tracking algorithm, FairMOT. Our framework detects the pedestrians around users and alarm users to avoid the collision between them. In our system, we use the 360-degree camera as the system input to record the users’ surrounding situations, and use the VR headset as the output device with a feedback application, that is realized using WebVR technologies. In this paper, we also discuss some experiments of the current system and some further improvement methods according to the results of experiments.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	375-385
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-031-26281-4_40
Publication status	Published - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	161
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

All Science Journal Classification (ASJC) codes

Information Systems
Media Technology
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1007/978-3-031-26281-4_40

Cite this

Shan, R., Shi, W., Teng, Z., & Okada, Y. (2023). A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm. In Lecture Notes on Data Engineering and Communications Technologies (pp. 375-385). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 161). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-26281-4_40

A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm. / Shan, Rui; Shi, Wei; Teng, Zhu et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. p. 375-385 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 161).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Shan, R, Shi, W, Teng, Z & Okada, Y 2023, A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 161, Springer Science and Business Media Deutschland GmbH, pp. 375-385. https://doi.org/10.1007/978-3-031-26281-4_40

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abstract = "Avoiding obstacles and pedestrians during the movement is a challenge for the visual impaired people. With the advancement of computer vision, some new technologies can be applied to improve this problem. In this paper, we proposed a new framework to realize such function based on the object tracking algorithm, FairMOT. Our framework detects the pedestrians around users and alarm users to avoid the collision between them. In our system, we use the 360-degree camera as the system input to record the users{\textquoteright} surrounding situations, and use the VR headset as the output device with a feedback application, that is realized using WebVR technologies. In this paper, we also discuss some experiments of the current system and some further improvement methods according to the results of experiments.",

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A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm

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