Video Detection for Dynamic Fire Texture by Using Motion Pattern Recognition

Author:

Wattanachote Kanoksak,Gong Yongyi,Liu Wenyin,Wang Yong

Publisher

Springer International Publishing

Reference20 articles.

1. Chen, T., Kao, C., Chang, S.: An intelligent real-time fire-detection method based on video processing. In: IEEE International Carnahan Conference on Security Technology, pp. 104–111 (2003)

2. Tasselli, G., Alimenti, F., Bonafoni, S., Basili, P., Roselli, L.: Fire detection by microwave radiometric sensors: Modeling a Scenario in the Presence of Obstacles. IEEE Trans. Geosci. Remote Sens. 48(1), 314–324 (2010)

3. Foggia, P., Saggese, A., Vento, M.: Real-time fire detection for video-surveillance applications using a combination of experts based on color, shape, and motion. IEEE Trans. Circuits Syst. Video Technol. 25(9), 1545–1556 (2015)

4. Li, Z., Mihaylova, L.S., Isupova, O., Ross, L.: Autonomous flame detection in videos with a Dirichlet process gaussian mixture color model. IEEE Trans. Ind. Inform. Spec. Sect. Multisens. Fusion Integr. Intell. Syst. PP(99) (2017)

5. Borges, P.V.K., Izquierdo, E.: A probabilistic approach for vision-based fire detection in videos. IEEE Trans. Circuits Syst. Video Technol. 20(5), 721–731 (2010)

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