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Performande enhancement of multi-human detection using an IR-UWB radar by an adaptive thresholding algorithm
- Authors
- Lee, Eun Chong; Cho, Sung Ho
- Issue Date
- Jul-2017
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Adaptive thresholding; Crowdedness measurement; Impulse radio ultra-wideband(IR-UWB) radar; People counting
- Citation
- Proceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016, pp.476 - 480
- Indexed
- SCOPUS
- Journal Title
- Proceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016
- Start Page
- 476
- End Page
- 480
- ISSN
- 0000-0000
- Abstract
- In this paper, an adaptive thresholding algorithm for detecting multi-human using an impulse radio ultra-wideband (IR-UWB) radar is proposed. The magnitude of the received signal shows trend of decreasing with the increasing number of the people in the interesting area of a radar owing to the scattering by the multi-human. Conventional multi-human detection algorithms do not consider this effect. To detect multi-human more correctly, the threshold should be adjusted by the number of humans. The adaptive thresholding algorithm adjusts the threshold values based on the estimated number of human using the variance of received signal.
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