Breathing monitoring plays an important role in monitoring respiratory physiology of chest movement, pathological condition, and the diagnosis of certain diseases of the respiratory. Presents a method for non-contact monitoring of breathing. Dimensionality reduction is applied to the infrared region of the video stream data chest and abdomen. The standard deviation of the data in the chest and abdomen areas is then calculated within a time window. A sequence of standard deviations are generated and passed to a low-pass filter. The proposed non-contact monitoring of breathing method can get an accurate respiratory rate and other parameters for the monitoring and diagnosis of health related diseases without affecting normal sleep activity. Respiratory rate and breathing pause time can be obtained based on the filtered standard deviation data.We carried out experiments in a home-based environment. The experimental results show that our developed system can calculate the number of breaths that is consistent with the actual number of breaths.