TY - GEN
T1 - Heat-map based occupancy estimation using adaptive boosting
AU - Naser, Abdallah
AU - Lotfi, Ahmad
AU - Zhong, Junpei
AU - He, Jun
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - There is a growing demand for efficient and privacypreserving intelligent solutions in a multi-occupancy environment. This paper proposes a non-contact scheme for occupancy estimation using an infrared thermal sensor array, which has the advantages of low-cost, low-power, and high-performance capabilities. The proposed scheme offers an accurate human heat segmentation technique that extracts human body temperature from a noisy environment. It is shown that the proposed system can detect the empty occupancy state after utilising the segmentation technique with an accuracy of 100%. By using adaptive boosting, it is shown that the system is capable of measuring the non-empty occupancy with an overall accuracy of 98.2%
AB - There is a growing demand for efficient and privacypreserving intelligent solutions in a multi-occupancy environment. This paper proposes a non-contact scheme for occupancy estimation using an infrared thermal sensor array, which has the advantages of low-cost, low-power, and high-performance capabilities. The proposed scheme offers an accurate human heat segmentation technique that extracts human body temperature from a noisy environment. It is shown that the proposed system can detect the empty occupancy state after utilising the segmentation technique with an accuracy of 100%. By using adaptive boosting, it is shown that the system is capable of measuring the non-empty occupancy with an overall accuracy of 98.2%
KW - Activities of Daily Living
KW - Adaptive Boosting
KW - Ambient Intelligence
KW - Image Segmentation
KW - Independent Living
KW - Multi-occupancy
KW - Occupancy Estimation
KW - Thermal Sensing
UR - http://www.scopus.com/inward/record.url?scp=85088380453&partnerID=8YFLogxK
U2 - 10.1109/FUZZ48607.2020.9177685
DO - 10.1109/FUZZ48607.2020.9177685
M3 - Conference article published in proceeding or book
AN - SCOPUS:85088380453
T3 - IEEE International Conference on Fuzzy Systems
BT - 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020
Y2 - 19 July 2020 through 24 July 2020
ER -