Reasearch of Flame Image Recognition algorithm Based on SVM
Release time:2024-10-22
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- Affiliation of Author(s):
- 信息与控制工程学院
- Journal:
- 2009 1st International Conference on Information Science and Engineering
- Key Words:
- 中文关键字：快速支持向量机机，英文关键字：SVM
- Abstract:
- The key problem of fire detection is the recognition and classification for fire flame and interference. Support vector machine (SVM) is a potential data classification tool developed from statistical theory. Aiming at the shortcomings of traditional fire detection, An image fire detection algorithm based on support vector machine is presented. The algorithm overcomes the disadvantages of neural network such as over learning, trapping in local minimum easily etc., and overcomes the complexity of doing a lot of experiments and statistical analysis to obtain recognition threshold. The experiment results show that the image fire detection algorithm based on SVM has high accuracy and notable effect on solving the recognition problem of small samples and nonlinear problem.
- Note:
- 马宗方
- Co-author:
- 程咏梅
- First Author:
- wanghuiqin,mazongfang
- Indexed by:
- Journal paper
- Volume:
- 卷：
- Issue:
- 期：
- Page Number:
- 页：
- Translation or Not:
- no
- Date of Publication:
- 2009-11-01