ABSTRACT
Image processing has been widely used in various applications of object detections based on edges, motion and color detection. However edge, motion and color detection methods alone cannot accurately detect and identify events like the onset of fire in a scene. In order to detect and identify fires by using video we propose a technique using three steps search algorithms and structure from motion (SFM). Here in this paper we introduce a unique algorithm known as SFM for non-rigid bodies (SFM-NRB) algorithm. In this algorithm, we calculate a randomness figure of an object boundary to differentiate fire from none fire event. Novelty of this proposal is its ability to detect the onset of fires in an image by using a combination of simple three step search algorithm and randomness figure of object boundaries even under complex static and dynamic background conditions.
- Barjatya, A. Block Matching Algorithms For Motion Estimation. IEEE Transactions Evolution Computation. 8, 3 (2004), 225--229.Google Scholar
- Bhavsar, D.D. and Gonawala, R.N. THREE STEP SEARCH METHOD FOR BLOCK. (2014), 101--104.Google Scholar
- Chaudhary, A. and Raheja, S. An Edge Detection Approach for Flame and Fire. 3, 7 (2014), 563--569.Google Scholar
- Chen, Y. and Warren, W. 3D Fusion of Infrared Images with Dense RGB Reconstruction from Multiple Views - with Application to Fire-fighting Robots. Figure 1 (2013), 1--7.Google Scholar
- Chino, D.Y.T., Avalhais, L.P.S., Rodrigues, J.F. and Traina, A.J.M. BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. Brazilian Symposium of Computer Graphic and Image Processing. 2015--Octob, (2015), 95--102. Google ScholarDigital Library
- Kim, J.N. and Choi, T.S. 1998. A fast three-step search algorithm with minimum checking points using unimodal error surface assumption. IEEE Transactions on Consumer Electronics. Google ScholarDigital Library
- Kim, Y.-H., Kim, A. and Jeong, H.-Y. RGB Color Model Based the Fire Detection Algorithm in Video Sequences on Wireless Sensor Network. International Journal of Distributed Sensor Networks. 2014, (2014), 1--10.Google Scholar
- Kulkarni, S.M., Bormane, D.S. and Nalbalwar, S.L. Coding of Video Sequences Using Three Step Search Algorithm. Procedia Computer Science. 49, (2015), 42--49.Google Scholar
- Li, D., Sullivan, G.D. and Baker, K.D. Edge Detection at Junctions. Procedings of the Alvey Vision Conference 1989. (1989), 21.1--21.6.Google ScholarCross Ref
- Mohd Razmi, S., Saad, N. and Asirvadam, V.S. Vision-based flame analysis using motion and Edge Detection. 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010. (2010), 1--4.Google ScholarCross Ref
- Nunes, A. and Dias, L. 2015. Optimized Flame Detection. 113, 15 (2015), 41--44.Google Scholar
- MM Umar, LCD Silva, MSA Bakar, and MI Petra. State of the art of smoke and fire detection using image processing. International Journal of Signal and Imaging Systems.10,(2017), 22--30.Google ScholarCross Ref
- Tobergte, D.R. and Curtis, S. Exploiting the Circulant Structure of Tracking-By-Detection Supplementary Material. Journal of Chemical Information and Modeling. 53, 9 (2013), 1689--1699.Google Scholar
- Torresani, L., Hertzmann, A. and Bregler, C. Nonrigid structure-from-motion: Estimating shape and motion with hierarchical priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 5 (2008), 878--892. Google ScholarDigital Library
Index Terms
- Fire Boundary Detection Method Using a Unique Structure from Motion for Non-Rigid Bodies Algorithm (SFM-NRBA)
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