This paper proposes novel methods for detecting and separating smoke from a single image
frame. Specifically, an image formation model is derived based on the atmospheric …

A novel video-based method is proposed for long-distance wildfire smoke detection. Since
the long-distance wildfire smoke usually moves slowly and lacks salient features in the …

Fire smoke detection in forest faces much more challenges than in local areas or indoors.
Conventional fire smoke methods using static features extracted form single image directly …

Image smoke detection is a challenging task due to the difference of color, texture, and
shape of smoke. In recent years, deep learning has greatly improved the performance of …

Existing smoke vehicle detection methods and vision-based smoke detection methods are
vulnerable to false alarms. This paper presents an automatic smoke vehicle detection …

Smoky vehicle emissions remain a significant contributor in many areas where air quality
standards are under threat. The existing smoky vehicle detection methods are inefficiency …

Existing smoke vehicle detection methods are vulnerable to false alarms. To solve this issue,
this paper presents two automatic smoke vehicle detection methods based on …

Most vision-based object detection methods rely heavily on feature extraction. For opaque
objects, features extracted directly from the source image in motion area or on block level …

Standard wildfire smoke detection systems detect fires using remote cameras located at
observation posts. Images from the cameras are analyzed using standard computer vision …

Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a
large number of workers. To solve this issue, we propose an automatic smoky vehicle …