This paper proposes a video-based fire detection system which uses color, spatial and
temporal information. The system divides the video into spatio-temporal blocks and uses …

Early warning systems are critical in providing emergency response in the event of
unexpected hazards. Cheap cameras and improvements in memory and computing power …

Video smoke detection has many advantages over traditional methods, such as fast
response, non-contact, and so on. But most of video smoke detection systems usually have …

Video surveillance systems are widely applied in a variety of fields. Hence, video-based
smoke detection is regarded as an effective and inexpensive way for fire detection in an …

Traditional methods for video smoke detection can easily achieve very low training errors
but their generalization performances are not good due to arbitrary shapes of smoke, intra …

Traditional smoke recognition methods are mainly based on handcrafted features. However,
it is difficult to design handcrafted features that are robust and discriminative for smoke …

It is very challenging to accurately detect smoke from images because of large variances of
smoke colour, textures, shapes and occlusions. To improve performance, the authors …

To detect smoke regions from video clips, a novel dynamic texture descriptor is proposed
with Surfacelet transform and hidden Markov tree (HTM) model. The image sequence is …

A novel approach is proposed in this paper for automatic forest fire detection from video.
Based on 3D point cloud of the collected sample fire pixels, Gaussian mixture model is built …

This paper proposes an effective, four-stage smoke-detection algorithm using video images.
In the first stage, an approximate median method is used to segment moving regions in a …