TY - CHAP
T1 - A Pedestrian Avoidance System for Visual Impaired People Based on Object Tracking Algorithm
AU - Shan, Rui
AU - Shi, Wei
AU - Teng, Zhu
AU - Okada, Yoshihiro
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-031-26281-4_40
DO - 10.1007/978-3-031-26281-4_40
M3 - Chapter
AN - SCOPUS:85153039190
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 375
EP - 385
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -