边缘羽化算法，利用opencv实现。当前后背景颜色差值较大时，具有好的效果。-Edge feathering algorithm, using opencv implementation. After the background color of the current difference is large, with good results.

基于HSV颜色空间的目标检测，先阈值化实现初步分割，再二值化H通道，阈值不同结果会有差异。最后进行噪声去除。 -Target detection based on the HSV color space, the first threshold value of the initial segmentation, and then binarized H channel, there is a difference between the different results of the t

运动目标自动跟踪检测，选择一块区域，根据一些色差值等，检测相关点-Moving target tracking and detection automatically select an area, according to some color difference detection point

基于视频的火焰检测，逐帧截取视频，三帧差分法获取动态目标，通过颜色判别，以及火焰特征判别，检测并框出火焰区域。(Video based flame detection, video capture by frame by frame, three frame difference method to obtain dynamic targets, by color discrimination, and flame characteristics discrimination, detectio