期刊
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)
卷 -, 期 -, 页码 284-292出版社
IEEE
DOI: 10.1109/CVPRW.2017.41
关键词
-
资金
- NSF from PFI:BIC program [IIP-1631674]
- NSF [EEC-0812056]
- New York State under NYSTAR [C090145]
We present a method for estimating the body orientation of seated people in a smart room by fusing low-resolution range information collected from downward pointed time-of-flight (ToF) sensors with synchronized speaker identification information from microphone recordings. The ToF sensors preserve the privacy of the occupants in that they only return the range to a small set of hit points. We propose a Bayesian estimation algorithm for the quantized body orientations in which the likelihood term is based on the observed ToF data and the prior term is based on the occupants' locations and current speakers. We evaluate our algorithm in real meeting scenarios and show that it is possible to accurately estimate seated human orientation even with very low-resolution systems.
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