The risk of fires is ever increasing along with the boom of urban buildings. The current
methods of detecting fire with the use of smoke sensors with large areas, however poses an …

The recent development of deep learning based fire detection techniques and the
availability of smart cameras able to execute these algorithms on the edge paved the way for …

The planet Earth is being affected by a series of wildfires, which have been steadily
increasing over the last two decades. Forests have undergone deforestation due to natural …

Smoke segmentation is essential to precisely localize wildfire so that it can be extinguished
in an early phase. Although deep neural networks have achieved promising results on …

Since fires grow exponentially after an outbreak, it is crucial to extinguish them quickly. In the
case of fires occurring on commercial ships and naval vessels, smoke and heat in the …

Wildfires pose significant environmental and societal threats, necessitating improved early
detection methods. This study investigates the effectiveness of integrating real-time object …

Siamese networks for visual tracking have been widely applied due to their good
performance. However, the performance of Siamese networks relies on the selection of …

Straw burning strongly affects the atmospheric environment quality. Smoke detection can
monitor the straw burning because smoke is a common feature of straw burning. Foggy …

Fire outbreak is one of the leading hazards endangering human lives, properties and the
environment around the world today. It causes huge number of death, massive economic …

烟雾图像分割是对烟雾进行识别与精准定位的基础, 是火灾预警的重要手段.
针对烟雾分割时存在过分割, 欠分割以及边界拟合粗糙的问题, 本文提出一种基于频率分离特性 …