Yun, Sang-Seok Quang Nguyen Choi, JongSuk 2024-01-19T11:38:17Z 2024-01-19T11:38:17Z 2022-03-07 2016 2325-033X https://pubs.kist.re.kr/handle/201004/114990 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. English IEEE Distributed Sensor Networks for Multiple Human Recognition in Indoor Environments Conference 1 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.753 - 756 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 753 756 US Xian, PEOPLES R CHINA 2016-08-19 2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) 000387249900174 2-s2.0-85000730334 Proceedings Paper