Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings

Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings

Chao-Ching Ho
ISBN13: 9781613503263|ISBN10: 1613503261|EISBN13: 9781613503270
DOI: 10.4018/978-1-61350-326-3.ch022
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MLA

Ho, Chao-Ching. "Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings." Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, et al., IGI Global, 2012, pp. 418-432. https://doi.org/10.4018/978-1-61350-326-3.ch022

APA

Ho, C. (2012). Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings. In A. Malik, T. Choi, & H. Nisar (Eds.), Depth Map and 3D Imaging Applications: Algorithms and Technologies (pp. 418-432). IGI Global. https://doi.org/10.4018/978-1-61350-326-3.ch022

Chicago

Ho, Chao-Ching. "Stereo-Vision-Based Fire Detection and Suppression Robot for Buildings." In Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, Tae Sun Choi, and Humaira Nisar, 418-432. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-326-3.ch022

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Abstract

A stereo-vision-based fire detection and suppression robot with an intelligent processing algorithm for use in large spaces is proposed in this chapter. The successive processing steps of our real-time algorithm use the motion segmentation algorithm to register the possible position of a fire flame in a video; the real-time algorithm then analyzes the spectral, spatial, and motion orientation characteristics of the fire flame regions from the image sequences of the video. The characterization of a fire flame was carried out by using a heuristic method to determine the potential fire flame candidate region. The fire-fighting robot uses stereo vision generated by means of two calibrated cameras to acquire images of the fire flame and applies the continuously adaptive mean shift (CAMSHIFT) vision-tracking algorithm to provide feedback on the real-time position of the fire flame with a high frame rate. Experimental results showed that the stereo-vision-based mobile robot was able to successfully complete a fire-extinguishing task.

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