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zhongzhilvboqi
- 在vc++6.0环境下运用opencv,使用中值滤波的方法检测运动的物体，如机动车辆、行人、烟雾等。-In vc++6.0 environment, the use opencv, using the median filtering method to detect moving objects, such as motor vehicles, pedestrians, smoke and so on.
smokedetection
- 利用提升小波的方法进行烟雾检测，效果很好-Using wavelet methods to enhance smoke detection, good results
fireworks-detection
- 这是基于opencv的烟火检测源代码，很有效的检测火焰和烟雾。-This is based on the opencv fireworks detection source code, it is effective to detect the flame and smoke.
TwoStageFilter
- 利用opencv实现烟雾检测，利用的特征是：在［0.625Hz，2.5Hz］带宽的频率范围内，监 测图像序列的灰度值通过一个二阶的滤波器后，子信号的频率值的变化，观察其峰峰值的个数，当峰值个数超过2次的时候即可判定为烟雾点-Smoke detection using opencv realized, is characterized by the use: In the [0.625Hz, 2.5Hz] bandwidth, frequency range, the gray value o
AviPlayer
- 基于OPENCV的视频分析程序。可检测烟雾和火焰。-OPENCV based video analysis program. Can detect smoke and flames.
main
- 通过opencv和codeblocks实现的程序。对图像里的烟雾进行检测，并对每帧烟雾的浓密程度进行分级显示。-By opencv and codeblocks implemented program. The image is detected in the smoke, and the degree of thick smoke were graded each frame display.
SmokeDetection
- 两种烟雾处理的方法可以有效的提取前景和背景，并且具备保存功能。相比较其他方法这两种方法是可以直接使用的没有错误。(Two kinds of smoke treatment methods can effectively extract the foreground and background, and have the preservation function. Compared with other methods, the two methods can be used directly
smokedetect
- smoke detection, and the result is well..
SmartMonitor-master
- 通过视频摄像头来监控工地烟雾，做到对人的安全识别(Smoke through a video camera to monitor site, identify the safety of the people)
cnn_evaluation_smoke-master
- 此代码简单易学，能有效检测烟雾，识别率高，机器学习。(This code is easy to learn, can effectively detect smoke, high recognition rate, machine learning.)
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method