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Background Subtraction Framework for Mobile 3D Sensor Data

Authors
Lee, SeongjoCho, SeoungjaeNguyen Trong HieuPhuong ChuCho, Kyungeun
Issue Date
2017
Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
Keywords
Background subtraction; Mobile sensor platform; 3D LIDAR
Citation
ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, v.421, pp 1086 - 1090
Pages
5
Indexed
SCOPUS
Journal Title
ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING
Volume
421
Start Page
1086
End Page
1090
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/24510
DOI
10.1007/978-981-10-3023-9_168
ISSN
1876-1100
1876-1119
Abstract
The latest developments in artificial intelligence and sensors have been stimulating research on intelligent service robots and self-driving car technology. Such service robots and self-driving cars must take actions according to the situation by detecting human beings or dynamic environments. This paper proposes a framework that eliminates the background area to facilitate detection of moving robots or vehicles in a dynamic environment. The approach proposed in this paper can eliminate the background at high speed by analyzing an accumulation of 3D data through parallel processing using the voxel data.
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