Dynamic texture recognition based on completed volume local binary pattern

2015 ◽  
Vol 27 (2) ◽  
pp. 563-575 ◽  
Author(s):  
Deepshikha Tiwari ◽  
Vipin Tyagi
Keyword(s):  
Local Binary Pattern ◽  
Dynamic Texture ◽  
Texture Recognition

scholarly journals Early Fire Detection on Video Using LBP and Spread Ascending of Smoke

2019 ◽  
Vol 11 (12) ◽  
pp. 3261 ◽  
Author(s):  
Jesus Olivares-Mercado ◽  
Karina Toscano-Medina ◽  
Gabriel Sánchez-Perez ◽  
Aldo Hernandez-Suarez ◽  
Hector Perez-Meana ◽  
...  
Keyword(s):  
Local Binary Pattern ◽  
Fire Detection ◽  
Candidate Region ◽  
Support Vector ◽  
False Alarms ◽  
Detection Accuracy ◽  
Multi Layer Perceptron ◽  
System Efficiency ◽  
Dynamic Texture ◽  
Early Fire Detection

This paper proposes a methodology for early fire detection based on visual smoke characteristics such as movement, color, gray tones and dynamic texture, i.e., diverse but representative and discriminant characteristics, as well as its ascending expansion, which is sequentially processed to find the candidate smoke regions. Thus, once a region with movement is detected, the pixels inside it that are smoke color are estimated to obtain a more detailed description of the smoke candidate region. Next, to increase the system efficiency and reduce false alarms, each region is characterized using the local binary pattern, which analyzes its texture and classifies it by means of a multi-layer perceptron. Finally, the ascending expansion of the candidate region is analyzed and those smoke regions that maintain or increase their ascending growth over a time span are considered as a smoke regions, and an alarm is triggered. Evaluations were performed using two different classifiers, namely multi-Layer perceptron and the support vector machine, with a standard database smoke video. Evaluation results show that the proposed system provides fire detection accuracy of between 97.85% and 99.83%.

An auto tuned noise resistant descriptor for dynamic texture recognition

2016 ◽  
Vol 76 (20) ◽  
pp. 21225-21246
Author(s):  
Deepshikha Tiwari ◽  
Vipin Tyagi
Keyword(s):  
Dynamic Texture ◽  
Texture Recognition
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