Real-Time Fire Detection Based on Deep Convolutional Long-Recurrent Networks and Optical Flow Method

Author(s):  
Chao Hu ◽  
Peng Tang ◽  
WeiDong Jin ◽  
ZhengWei He ◽  
Wei Li
2013 ◽  
Vol 376 ◽  
pp. 455-460
Author(s):  
Wei Zhu ◽  
Li Tian ◽  
Fang Di ◽  
Jian Li Li ◽  
Ke Jie Li

Optical flow method is an important and valid method in the field of detection and tracking of moving objects for robot inspection system. Due to the traditional Horn-Schunck optical flow method and Lucas-Kanade optical flow method cannot meet the demands of real-time and accuracy simultaneously, an improved optical flow method based on Gaussian image pyramid is proposed. The layered structure of the images can be obtained by desampling of the original sequential images so that the motion with the high speed can be changed into continuous motion with lower speed. Then the optical flows of corner points of the lowest layer will be calculated by the LK method and be delivered to the upper layer and so on. Thus the estimated optical flow vectors of the original sequential images will be obtained. In this way, the requirement of accuracy and real time could be met for robotic moving obstacle recognition.


2007 ◽  
Vol 188 (3) ◽  
pp. W276-W280 ◽  
Author(s):  
Drew A. Torigian ◽  
Warren B. Gefter ◽  
John D. Affuso ◽  
Kiarash Emami ◽  
Lawrence Dougherty

2021 ◽  
Vol 33 (10) ◽  
pp. 101702
Author(s):  
Tianshu Liu ◽  
Robert Zboray ◽  
Pavel Trtik ◽  
Lian-Ping Wang

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