Dissertation > Excellent graduate degree dissertation topics show

Study on Tunnel Flame Detection Technology Based on Video

Author: ZhaoZuo
Tutor: SongHuanSheng
School: Chang'an University
Course: Applied Computer Technology
Keywords: Tunnel fire flame detection background extraction flame characteristics
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 8
Quote: 0
Read: Download Dissertation

Abstract


With the rapid development of tunnel construction, the tunnel fire accidents occurfrequently, due to the closed structure of the tunnel, the consequences of the fire is moreserious. The traditional fire detection technology because of various interference factors, hascertain limitations, the fire detection based on video technology has attracted more and moreattention, which compared with the traditional fire detection technology has the advantages oflow cost, good real-time, high accuracy, strong anti-interference etc.. This paper mainlystudies the tunnel flame detection technology based on video.This paper firstly proposes an improved statistic histogram method to extract thebackground image, the algorithm selects the higher credibility peak point as backgroundaccording to the energy value around the peak point in the statistical histogram. Meanwhile,in order to improve the reliability of the background, this paper uses a new backgroundupdating algorithm based on block stability, the algorithm through the block matchingoperation to judge the block’s stability, for the block reaches a certain stability degree usingthe weighted average method to update the background.After obtaining reliable background, the paper firstly adopts block binarization methodbased on background subtraction to detect the moving targets, and then respectively usesmorphological method and connected component labeling method for filtering and labelingprocessing of the detected results. In order to eliminate some interference regions, improvethe efficiency of the post processing, according to the characteristics of the flame studied, thispaper presents the flame regions extraction algorithm by combining brightness and stability,using the high brightness characteristic and the relatively stable characteristic of flame toextract the target areas.In order to improve the recognition rate of the system, in this paper, for the flame regionextracted, its area diffusion characteristic and flicker characteristic are analyzed according tothe overall growth rate of area and the change of area in a short period of time respectively.The algorithm designed in this paper has been tested in different traffic scenarios, theexperimental results show that the algorithm can effectively detect the fire incident, has goodreliability and practicability, at the same time, it and can meet the real-time requirement of thesystem.

Related Dissertations

  1. Strategy of Fire Risk and Fire Control Design for Long and Large Railway Underwater Tunnels,U458.1
  2. Study on Fire Smoke Flow Characteristics in Subway Tunnel,U458.1
  3. Research and Development of Triple Channels Infrared Flame Detector,TH89
  4. Lining the structure carrying capacity study tunnel fire,U451
  5. Research slope characteristics of the spread of fire and smoke on Long Highway Tunnel,U453.5
  6. Highway tunnel lining structure with live fire testing of fire resistance,U451
  7. Research on Highway Tunnel Fire Simulation and Person Escape,U458.1
  8. Numerical Analysis about the ShangJie Highway of Tunnel Fire Based on FDS,U453.8
  9. Research on Highway Tunnel Fire Simulation and Emergency Plan,U458
  10. The Detection Study of Traffic Flow and Vehicle Queue Based on Video,TP391.41
  11. Study on Smoke Flow and Personnel Evacuation Simulation in Subway Tunnel Fire,U231.96
  12. Research and Implementation of Vehicle Detection System based on virtual detector,U495
  13. The thriving the hilly expertise railway tunnel fire engineering design and key technology research,U458
  14. Fuchun River navigable tunnel fire explosion escape evacuation and structural safety,U458
  15. The Design of Flame Detection System Based on ARM,TP391.41
  16. Simulation Study on Fire Diffusion of Subway Tunnel,U458.1
  17. The Research on Smoke Current Laws and Simulation Research of Tunnel Fire,U458.1
  18. Research on Vehicle Identification Techniques for Moving Vehicles in Video Sequences,TP391.41
  19. Research on Multiple Moving Objects Real-time Detecting and Tracking in Complex Scene,TP391.41
  20. Three-Dimensional Numerical Simulation Study on Fire Ventilation Smoke in Highway Tunnel,U453.5
  21. Study on Numerical Simulation of Tunnel Fire,U453.8

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile