Automatic detection of indoor occupancy based on improved YOLOv5 model-Reference-Cited by-同舟云学术

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Automatic detection of indoor occupancy based on improved YOLOv5 model

Published:2022-09-02 Issue:3 Volume:35 Page:2575-2599
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Wang Chao,Zhang Yunchu,Zhou Yanfei,Sun Shaohan,Zhang Hanyuan,Wang Yepeng

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07730-3.pdf

Reference61 articles.

1. Beiter P, Elchinger M, Tian T (2017) 2016 renewable energy data book. Technical report, National Renewable Energy Lab.(NREL), Golden

2. Xu Q (2019) Research on new energy saving technology of building lighting system. Ph.D. thesis, Suzhou University of Science and Technology

3. Petersen S, Pedersen TH, Nielsen KU, Knudsen M (2016) Establishing an image-based ground truth for validation of sensor data-based room occupancy detection. Energy Build 130:787–793

4. Zou J, Zhao Q, Yang W, Wang F (2017) Occupancy detection in the office by analyzing surveillance videos and its application to building energy conservation. Energy Build 152:385–398

5. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), vol 1. IEEE, pp 886–893

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