Early stage smoke detection using image and video analysis is an important area of
research due to its enormous applications in mitigating fire hazards and ensuring …

Video smoke detection (VSD) is a prospective and effective solution for fire detection in
spacious buildings and forests. Most of the deep learning based VSD model are end-to-end …

In this paper, we propose a novel method for video-based smoke detection, which aims to
discriminate smoke from smoke-colored moving objects by applying spatio-temporal …

In video smoke detection (VSD) system designing, generally suspected smoke regions are
firstly segmented from video frames to lower the load of video processing, speed up smoke …

Forest resources are one of the indispensable resources of the earth, which are the basis for
the survival and development of human society. With the swift advancements in computer …

To improve recognition accuracy, the authors fuse texture, edge and line information to
propose a feature extraction method for smoke recognition. The Canny operator is proposed …

To overcome shortages of conventional hand-crafted features, we propose a learning based
feature extraction method for visual smoke recognition. We first slide a 3D sampling window …

In recent decades, early smoke detection in outdoor environment is a hot topic due to its
practical importance for a fire safety. Many researchers have contributed to this area since …

Modern industrial development is accompanied by the increasingly frequent occurrence of
accidental release atmospheric dispersion events, causing extremely serious human and …

Video smoke detection plays a significant role in real-time fire alarms. In this paper, aiming
at the problems of high false positives and high false negatives in complex environments, a …