An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques

An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques

As an emerging development in the digital technology era, video processing is useful in a wide range of applications. In the current paper, an algorithm is proposed which is useful for smoke detection in video processing. The algorithm quickly detects fire by eliminating common interruptions like no...

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Bibliographic Details
Main Authors: P. Matlani, M. Shrivastava
Format: Article
Language:English
Published: D. G. Pylarinos 2019-04-01
Series:Engineering, Technology & Applied Science Research
Subjects:
smoke detection
Bhattacharya distance
video processing
bounding box technique
SIFT
Gabor wavelet approach
Online Access:https://etasr.com/index.php/ETASR/article/view/2571
Description
Summary:As an emerging development in the digital technology era, video processing is useful in a wide range of applications. In the current paper, an algorithm is proposed which is useful for smoke detection in video processing. The algorithm quickly detects fire by eliminating common interruptions like noise, overlapping due to the collision, etc. The proposed algorithm is composed of several techniques such as Haar feature, Bhattacharya distance method, SIFT descriptors, Gabor wavelets approach and SVM classifier to identify the smoke by video processing. Foreground object is identified using a moving object algorithm by predicting the movement of smoke in stable images. The implementation has been carried out in MATLAB.
ISSN:2241-4487
1792-8036

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