Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Leping Bu"'
Autor:
Zhengjun Yan, Liming Wang, Kui Qin, Feng Zhou, Jineng Ouyang, Teng Wang, Xinguo Hou, Leping Bu
Publikováno v:
Forests, Vol 14, Iss 1, p 52 (2022)
Deep neural networks (DNNs) have driven the recent advances in fire detection. However, existing methods require large-scale labeled samples to train data-hungry networks, which are difficult to collect and even more laborious to label. This paper ap
Externí odkaz:
https://doaj.org/article/f4c1b136bdc74c0b8dfde1b23182c1c5
Publikováno v:
Sensors, Vol 22, Iss 17, p 6332 (2022)
It is important to reduce the danger of collecting flame image data sets by compositing flame images by computer. In this paper, a Global-Local mask Generative Adversarial Network (FGL-GAN) is proposed to address the current status of low quality com
Externí odkaz:
https://doaj.org/article/370a25b62ba549009382cc107daae3ee
Publikováno v:
Fire Technology. 58:183-215
The training of video fire detection models based on deep learning relies on a large number of positive and negative samples, namely, fire video and scenario video with other disturbances similar to fire. Due to the prohibition of ignition in lots of
Publikováno v:
Pattern Recognition and Image Analysis. 30:551-564
At present, all CNN-based fire detection algorithms identify fire by means of a single frame image, all of which demonstrate low accuracy under strong interferences or complex backgrounds such as flickering light or backgrounds with high level of bri
Publikováno v:
2021 China Automation Congress (CAC).
Publikováno v:
Journal of Physics: Conference Series. 2338:012050
The usually, softening occurs when metals are annealed, while for some special metals or alloys, the abnormal phenomenon of annealing hardening will occur. By means of X-ray diffraction (XRD), metallographic (OM) observation, transmission electron mi
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. :1-13
In this paper, a video fire detection method is proposed, which demonstrated good performance in indoor environment. Three main novel ideas have been introduced. Firstly, a flame color model in RGB and HIS color space is used to extract pre-detected
Publikováno v:
2019 Chinese Automation Congress (CAC).
Fire is one of the most important factors that threaten the safe sailing of ships. Timely and accurate video fire detection relies on fast and accurate extraction of suspected flame regions. In view of the complicated environment of varied illuminati
Publikováno v:
Journal of Physics: Conference Series. 1907:012048
In order to solve the problem of insufficient flame image data, this paper designs a flame image data sets generation algorithm based on generative adversarial network and studies the influence of different generator depth and training times on the f
Publikováno v:
Journal of Physics: Conference Series. 1894:012019
The rapid spread of the coronavirus (COVID-19) has led the world into a huge pandemic crisis. As of November, more than 50 million people have been infected. In response to the transmission characteristics of COVID-19, the World Health Organization (