Distributed Sensor Networks for Multiple Human Recognition in Indoor Environments

Authors
Yun, Sang-SeokQuang NguyenChoi, JongSuk
Issue Date
2016
Publisher
IEEE
Citation
13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.753 - 756
Abstract
In this paper, we propose distributed sensor networks (DSNs) capable of performing reliable recognition targeted at multiple humans in the indoor environments. DSNs are composed with combinations of perception sensor units using a RGB-D sensor and a pan-tilt-zoom camera, and a control board to acquire 3W results of who, where, and what information based on audio-visual perception modules. In addition, fusion methods are utilized to associate with multiple human detection and tracking, face identification, and daily activity recognition. By evaluating the performance of DSNs in a classroom setting, it was confirmed that the proposed system can help to perform the tasks of various purposes.
ISSN
2325-033X
URI
https://pubs.kist.re.kr/handle/201004/114990
Appears in Collections:
KIST Conference Paper > 2016
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