Makale detayı · 2005
Flame detection in video using hidden Markov models
- Yıl
- 2005
- Tür
- conference-paper
Özet
OpenAlex · İngilizce
This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame flicker process is also detected by using a hidden Markov model. Markov models representing the flame and flame colored ordinary moving objects are used to distinguish flame flicker process from motion of flame colored moving objects. Spatial color variations in flame are also evaluated by the same Markov models, as well. These clues are combined to reach a final decision. False alarms due to ordinary motion of flame colored moving objects are greatly reduced when compared to the existing video based fire detection systems.
Konular
Atıflar
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209 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 14 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- Online Detection of Fire in Video 2007
- Fire Detection in Video Using LMS Based Active Learning 2010
- Video based wildfire detection at night 2009
- Fire detection algorithms using multimodal signal and image analysis 2009
- A new artificial bee colony algorithm-based color space for fire/flame detection 2020