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Related Experiment Videos

An early fire detection algorithm using IP cameras.

Leonardo Millan-Garcia1, Gabriel Sanchez-Perez, Mariko Nakano

  • 1Graduate School, ESIME-Culhuacan, National Polytechnic Institute, Av. Santa Ana no. 1000, Col. San Francisco Culhuacan, Mexico D.F., 04430, Mexico. millan.galeis@gmail.com

Sensors (Basel, Switzerland)
|July 11, 2012
PubMed
Summary
This summary is machine-generated.

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This study presents a novel algorithm for early fire detection using Internet Protocol (IP) camera footage. The method efficiently detects smoke by analyzing motion, color, and growth patterns directly in the Discrete Cosine Transform (DCT) domain.

Area of Science:

  • Computer Vision
  • Fire Safety Engineering
  • Signal Processing

Background:

  • Early fire detection is crucial for minimizing damage and ensuring safety.
  • Traditional smoke detection methods have limitations in real-world environments.
  • Video surveillance systems offer potential for advanced fire detection capabilities.

Purpose of the Study:

  • To develop an efficient and accurate smoke detection algorithm for Internet Protocol (IP) camera systems.
  • To reduce computational costs by operating directly in the Discrete Cosine Transform (DCT) domain.
  • To improve fire detection reliability by analyzing multiple smoke characteristics.

Main Methods:

  • Proposed a smoke detection algorithm utilizing motion, color, and growth properties of smoke.
Keywords:
DCTDCT inter-transformationIP cameraearly fire detectionsmoke detectionvideo surveillance

Related Experiment Videos

  • Employed the Discrete Cosine Transform (DCT) Inter-transformation technique for enhanced accuracy without inverse DCT.
  • Utilized morphological operations for noise reduction and connected component labeling for temporal analysis.

    • Main Results:

    • Achieved a feasible smoke detection method with low error rates.
    • Demonstrated approximately 4% false negative and 2% false positive error rates.
    • The algorithm operates efficiently in the DCT domain, reducing computational load.

    Conclusions:

    • The proposed algorithm offers an effective solution for real-time smoke detection using IP cameras.
    • The DCT-based approach enhances efficiency and accuracy in video-based fire detection.
    • This method contributes to improved fire safety through advanced video analytics.