Video fire detection has important practical significance for fire safety.The flame color information plays an important role in video fire detection

and many scholars have presented a variety of flame color detection algorithms based on different color space.Aimed at low detection rate

high false-alarm rate and poor adaptability in current flame color detection algorithm

a flame color segmentation method based on YCbCr color space is proposed.The constraints of the flame pixels is summed up by studying the distribution of the flame in YCbCr color space and the relationship between the Y

Cb and Cr components of flame pixels.The performance of the proposed method is tested under different scenarios

the results are compared with three other methods in the literature and the proposed method is shown to have a higher detection rate

a lower false rate and better adaptability.