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https://www.sciencedirect.com/science/article/pii/S0379711208000957
Fire detection based on vision sensor and support vector machines ... This paper proposes a new vision sensor-based fire-detection method for an early-warning fire-monitoring system. First, candidate fire regions are detected using modified versions of previous related methods, such as the detection of moving regions and fire-colored pixels ...Cited by: 311
https://www.researchgate.net/publication/222194545_Fire_detection_based_on_vision_sensor_and_support_vector_machines
Request PDF Fire detection based on vision sensor and support vector machines This paper proposes a new vision sensor-based fire-detection method for an early-warning fire …
http://aircconline.com/ijscai/V8N2/8219ijscai01.pdf
Vector Machines (SVM)” proposes a robust approach to wildfire detection using support vector machine (SVM) algorithm. The result was compared with logistic regression. SVM proofs superior in detecting cases of wildfire. A design and implementation of a fire and obstacle detection control system is investigated based on Arduino Uno, using fire sensor, temperature sensor, smoke sensor, and PIR motion sensor …
https://www.deepdyve.com/lp/elsevier/fire-detection-based-on-vision-sensor-and-support-vector-machines-hSqo05UCv0
Apr 01, 2009 · Read "Fire detection based on vision sensor and support vector machines, Fire Safety Journal" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://arxiv.org/abs/1906.05655v1
This study employed Support Vector Machine (SVM) in the classification and prediction of fire outbreak based on a fire outbreak dataset captured from the Fire Outbreak Data Capture Device (FODCD). The fire outbreak data capture device (FODCD) used was developed to capture the environmental parameters values used in this work. The FODCD device comprised a DHT11 temperature sensor, …Author: Uduak Umoh, Edward Udo, Nyoho Emmanuel
https://ieeexplore.ieee.org/document/7054125/
Abstract: In this paper, we present a new vision-based algorithm for fire detection problem. The algorithm consists of three main tasks: pixel-based processing to identify potential fire blobs, blob-based statistical feature extraction, and a support vector machine classifier.
https://link.springer.com/chapter/10.1007/978-3-642-54927-4_14
Jul 19, 2014 · Image Fire Detection System Based on Feature Regression Analysis and Support Vector Machine. Authors; ... Fire detection based on vision sensor and support vector machines. Fire Safety 44(3):322–329 ... Wang H. (2014) Image Fire Detection System Based on Feature Regression Analysis and Support Vector Machine. In: Wen Z., Li T. (eds) Practical ...Cited by: 1
https://cseweb.ucsd.edu/classes/wi09/cse190-a/reports/ntrue.pdf
Computer Vision Based Fire Detection Nicholas True University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093 [email protected] Abstract In this paper we use a combination of techniques to de-tect fire in video data. First, the algorithm locates regions of the video where there is movement. From these regions fire-
https://www.researchgate.net/publication/306301753_Smoke_Recognition_Based_on_Machine_Vision
In fire protection field smoke recognition is becoming more and more significant compared with traditional method. Vision-based smoke detection approach using image processing technology in smart ...
https://www.sciencedirect.com/science/article/pii/S0379711209001155
Support vector machine Most sensor based fire alarms are designed for indoor use and are not applicable in outdoor scenarios and in large infrastructure settings such as aircraft hangers, large tunnels and exhibition buildings,,.Cited by: 161
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