The invention relates to a method and system for masked veil detection in a video image. According to the method, after a video stream is read in, a background model is built through adoption of mixed gauss background modeling, and a pixel point of a mobile object is got by utilizing a background subtraction method and then is taken as a foreground point; morphological operation is performed on the foreground point, a noise is removed, a hole is filled at the same time, a connected region is obtained and marked, and a continuously marked region is extracted and is taken as a final foreground region; extraction of characteristics of the mobile object is performed on the final foreground region; a classifier is adopted to classify the extracted characteristics, and whether a pedestrian exists at the foreground region is detected; when the pedestrian is detected, a head and shoulder position of the pedestrian is detected, and, on this basis, whether a human face of the pedestrian is complete; and, if the human face is not complete, the pedestrian is marked, a movement direction of the pedestrian is continuously tracked and recorded, and, when the movement direction of the pedestrian is determined to be a predetermined direction, an alarm is given out. So an effective detection means is provided for the effective masked veil detection in the video image.