Flame Identification in Video for Highway Tunnel Based on BP Neural Network
XU Hong-ke
QIN Yan-yan
YANG Wei-song
Abstract：In order to improve the flame identification rate for highway tunnel based on video ,BP neu‐ral network was employed for integration of static features to identify flame on the basis of dynamic fea‐tures ,such as the amount of movement of flame edge(AMFE) and flame area beating feature ,from our ow n previous studies .Flame static features such as flame circular degree ,flame color feature ,and flame circular degree were adopted from the previous studies of others .And the five features were used as the in‐put of BP neural network to identify flame .The experiment results showed that the rage of flame identifica‐tion rate was 86 .2% —96 .5% ,which verified the reliability of the method .
Keywords：highway tunnelvideo flame identificationBP neural networkflame feature
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 13-18 )