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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15799
Title: Fire detection using dense trajectories
Authors: Pundir A.S.
Buckchash H.
Rajput A.S.
Tanwar V.K.
Raman, Balasubramanian
Chaudhuri B.B.
Raman B.
Kankanhalli M.S.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: This paper proposes an automatic computer vision-based system for fire detection in videos. There are many previous methods for video-based fire detection but only very few of them have considered the challenge of camera motion or motion of the background scene while finding features based on motion of fire. Our method is divided into two phases. First, we train our system for color characteristics of fire with the help of Gaussian mixture model (GMM), and for texture features which are computed using local binary patterns (LBPs). Next, dense trajectories are computed for motion features which are free from camera motion or challenges of moving scene. Bounding boxes are detected with the help of color and texture models. Subsequently, dense trajectories are projected onto codebooks for feature vector computation, and chi-square kernel-based SVM is employed for classification of fire and non-fire motion representations. Quantitative evaluation of our method indicates the fitness of temporal features for fire detection. © Springer Nature Singapore Pte Ltd. 2018.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2018), 211- 221
URI: https://doi.org/10.1007/978-981-10-7898-9_17
http://repository.iitr.ac.in/handle/123456789/15799
Issue Date: 2018
Publisher: Springer Verlag
Keywords: Dense trajectories
Fire detection
GMM
LBP
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 57194610783
57196062798
55995594700
57202340293
23135470700
Author Affiliations: Pundir, A.S., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Buckchash, H., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Rajput, A.S., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Tanwar, V.K., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Raman, B., Indian Institute of Technology Roorkee, Roorkee, 247667, India
Corresponding Author: Pundir, A.S.; Indian Institute of Technology RoorkeeIndia; email: asp24.dcs2014@iitr.ac.in
Appears in Collections:Conference Publications [CS]

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